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Academic literature on the topic 'System Delays'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "System Delays"

1

He, Ping, and Tao Fan. "Delay-independent stabilization of nonlinear systems with multiple time-delays and its application in chaos synchronization of Rössler system." International Journal of Intelligent Computing and Cybernetics 9, no. 2 (June 13, 2016): 205–16. http://dx.doi.org/10.1108/ijicc-02-2016-0008.

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Purpose – The purpose of this paper is with delay-independent stabilization of nonlinear systems with multiple time-delays and its application in chaos synchronization of Rössler system. Design/methodology/approach – Based on linear matrix inequality and algebra Riccati matrix equation, the stabilization result is derived to guarantee asymptotically stable and applicated in chaos synchronization of Rössler chaotic system with multiple time-delays. Findings – A controller is designed and added to the nonlinear system with multiple time-delays. The stability of the nonlinear system at its zero equilibrium point is guaranteed by applying the appropriate controller signal based on linear matrix inequality and algebra Riccati matrix equation scheme. Another effective controller is also designed for the global asymptotic synchronization on the Rössler system based on the structure of delay-independent stabilization of nonlinear systems with multiple time-delays. Numerical simulations are demonstrated to verify the effectiveness of the proposed controller scheme. Originality/value – The introduced approach is interesting for delay-independent stabilization of nonlinear systems with multiple time-delays and its application in chaos synchronization of Rössler system.

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BAUER, PETER H., MIHAIL L. SICHITIU, and KAMAL PREMARATNE. "QUEUE CONTROL UNDER TIME-VARIANT DELAYS: A DISCRETE TIME SYSTEM APPROACH." Journal of Circuits, Systems and Computers 11, no. 02 (April 2002): 187–211. http://dx.doi.org/10.1142/s0218126602000380.

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This paper introduces a discrete time model for time-variant delays and investigates the very nature of such delays. It is shown that a linear system-delay interface is a system theoretic necessity for the construction of composite linear systems with time-variant delays. Based on this analysis, two interfaces of particular importance are presented and used to obtain new, simple to check stability results for queue control systems. The relevance of the presented modeling and stability results on queue control systems to QoS control in modern communication networks is illustrated via several examples.

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Klamka, Jerzy. "Stochastic Controllability of Linear Systems With State Delays." International Journal of Applied Mathematics and Computer Science 17, no. 1 (March 1, 2007): 5–13. http://dx.doi.org/10.2478/v10006-007-0001-8.

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Stochastic Controllability of Linear Systems With State DelaysA class of finite-dimensional stationary dynamic control systems described by linear stochastic ordinary differential state equations with a single point delay in the state variables is considered. Using a theorem and methods adopted directly from deterministic controllability problems, necessary and sufficient conditions for various kinds of stochastic relative controllability are formulated and proved. It will be demonstrated that under suitable assumptions the relative controllability of an associated deterministic linear dynamic system is equivalent to the stochastic relative exact controllability and the stochastic relative approximate controllability of the original linear stochastic dynamic system. Some remarks and comments on the existing results for the controllability of linear dynamic systems with delays are also presented. Finally, a minimum energy control problem for a stochastic dynamic system is formulated and solved.

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Yang, Xianqiang, Weili Xiong, Zeyuan Wang, and Xin Liu. "Parameter identification of nonlinear multirate time-delay system with uncertain output delays." Transactions of the Institute of Measurement and Control 40, no. 12 (October 16, 2017): 3498–506. http://dx.doi.org/10.1177/0142331217733326.

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The joint parameter and time-delay estimation problems for a class of nonlinear multirate time-delay system with uncertain output delays are addressed in this paper. The practical process typically has time-delay properties and the process data are often multirate, sampled with output data inevitably corrupted by uncertain delays. The linear parameter varying (LPV) finite impulse response (FIR) multirate time-delay model is initially built to describe the considered system. The problems of over-parameterization and the existence of both continuous model parameters and discrete time-delays have made the conventional maximum likelihood difficult to solve the considered problems. In order to handle these problems, the joint parameter and time-delay estimation for the LPV FIR multirate time-delay model are formulated in the expectation-maximization scheme, and the algorithm to estimate the model parameters and time-delays is derived, simultaneously based on multirate process data. The efficacy of the proposed method is verified through a numerical simulation and a practical chemical plant.

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Garcia-Lozano, Hiram, and Vladimir L. Kharitonov. "Lyapunov Matrices for Time Delay System with Commensurate Delays." IFAC Proceedings Volumes 37, no. 21 (December 2004): 91–95. http://dx.doi.org/10.1016/s1474-6670(17)30449-4.

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Jiang, Zhichao, and Yanfen Guo. "Hopf Bifurcation and Stability Crossing Curve in a Planktonic Resource–Consumer System with Double Delays." International Journal of Bifurcation and Chaos 30, no. 13 (October 2020): 2050190. http://dx.doi.org/10.1142/s0218127420501904.

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In this paper, a planktonic resource–consumer system with two delays is investigated and the coefficients depend on [Formula: see text] one of the two delays. Firstly, the property of solution and the existence of equilibrium are given. The dynamical analysis of the system including stability and Hopf bifurcation by using the delays as parameters is carried out. Both the single delay and two delays can cause the system to produce Hopf bifurcation and the stable switching phenomena may exist. Furthermore, using the crossing curve methods, we obtain the stable changes of equilibrium in two-delay parameter plane, which generalizes the results of the system that the coefficients do not depend on delay. Furthermore, the numerical simulation results show that the theoretical analyses are correct when the delays change.

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Utomo Dwi Hatmoko, Jati, Hery Priyono, Mochamad Agung Wibowo, and Riqi Radian Khasani. "Developing a Prototype of Early Warning System of Delay Risks for Public Projects (EWaSDRiP)." MATEC Web of Conferences 159 (2018): 01015. http://dx.doi.org/10.1051/matecconf/201815901015.

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Delays may occur during pre-construction or construction phases, or both. The aim of this research is to develop a prototype of an early warning system of delay risks for public projects in pre-construction phase (EWaSDRiP). These delays are attributed to owner, consultant, project characteristics, and external factors. Data was collected through literature review, observations on project reports, interview, and questionnaire surveys with 30 respondents from government client teams, contractors and consultants. The respondents were asked to validate the indicators, and estimate their weight and the degree of accuracy. A 1 to 10 Likert scale reflecting worst to excellent is used to score the state of each of the delay indicators within three zones, i.e. red (scale 1-3), yellow (4-6), green (7-10). The delays in red zone indicates that they pose dangerous threats to the project and must be monitored closely, delays within yellow zone indicate moderate threats to the project, while delays in green zone means that they are unlikely to delay the project. EWaSDRiP gives a visual indication of which zone most delays are distributed. This prototype is potentially beneficial for the owner or government client team to prepare strategic actions for the relevant pre-construction delays accordingly.

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Whitaker, John, Nollaig O'Donohoe, Max Denning, Dan Poenaru, Elena Guadagno, Andrew J. M. Leather, and Justine I. Davies. "Assessing trauma care systems in low-income and middle-income countries: a systematic review and evidence synthesis mapping the Three Delays framework to injury health system assessments." BMJ Global Health 6, no. 5 (May 2021): e004324. http://dx.doi.org/10.1136/bmjgh-2020-004324.

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BackgroundThe large burden of injuries falls disproportionately on low/middle-income countries (LMICs). Health system interventions improve outcomes in high-income countries. Assessing LMIC trauma systems supports their improvement. Evaluating systems using a Three Delays framework, considering barriers to seeking (Delay 1), reaching (Delay 2) and receiving care (Delay 3), has aided maternal health gains. Rapid assessments allow timely appraisal within resource and logistically constrained settings. We systematically reviewed existing literature on the assessment of LMIC trauma systems, applying the Three Delays framework and rapid assessment principles.MethodsWe conducted a systematic review and narrative synthesis of articles assessing LMIC trauma systems. We searched seven databases and grey literature for studies and reports published until October 2018. Inclusion criteria were an injury care focus and assessment of at least one defined system aspect. We mapped each study to the Three Delays framework and judged its suitability for rapid assessment.ResultsOf 14 677 articles identified, 111 studies and 8 documents were included. Sub-Saharan Africa was the most commonly included region (44.1%). Delay 3, either alone or in combination, was most commonly assessed (79.3%) followed by Delay 2 (46.8%) and Delay 1 (10.8%). Facility assessment was the most common method of assessment (36.0%). Only 2.7% of studies assessed all Three Delays. We judged 62.6% of study methodologies potentially suitable for rapid assessment.ConclusionsWhole health system injury research is needed as facility capacity assessments dominate. Future studies should consider novel or combined methods to study Delays 1 and 2, alongside care processes and outcomes.

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Young, G. E., K. S. Suresh Rao, and Vijay R. Chatufale. "Block-Recursive Identification of Parameters and Delay in the Presence of Noise." Journal of Dynamic Systems, Measurement, and Control 117, no. 4 (December 1, 1995): 600–607. http://dx.doi.org/10.1115/1.2801120.

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This paper presents a method for identification of parameters and delays of a linear system in the presence of noise. The estimation procedure is based on transforming the input-output data into the discrete Fourier domain. The transformed data is then solved block recursively to obtain both the system parameters and unknown delay. For systems with no delays or known delays, the equations are linear in the parameters and the standard estimation techniques can be applied. For systems with unknown delays, the resulting equations are nonlinear in the delay term. A recursive nonlinear estimation technique similar to the least-squares in the time domain has been developed. In the presence of Gaussian white noise, simulation studies indicate that the parameters converge to their true values in the mean.

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Yang, Bao Sheng, Bao Sheng Yang, and Li Li Chen. "Algorithm Design and Convergence Analysis of Iterative Adaptive Dynamic Programming." Applied Mechanics and Materials 336-338 (July 2013): 852–55. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.852.

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Time delays are tremendous difficulties to system stability analysis and controller design, and often cause system instability or even lead to the deterioration of the system performance. The optimal control law is solved for a class of nonlinear discrete affine systems with multiple time delays. The systems HJB equation of optimal control is solved by adaptive dynamic iterative algorithm and minimized system performance index function, given the convergence proof of the algorithm. Neural networks are adopted to realize iterative algorithm for optimal control law of time delay systems. The simulation results show that the adaptive dynamic programming can solve for the optimal control of delay nonlinear systems, make the system to achieve stability.

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Dissertations / Theses on the topic "System Delays"

1

Russell, Leslie Wallace. "Control system synthesis for plants with time delays." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7650.

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Wang, Qing. "Model reduction for dynamic systems with time delays a linear matrix inequality approach /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38645439.

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Rahman, Bootan Mohammed. "Dynamics of neural systems with time delays." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/67773/.

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Complex networks are ubiquitous in nature. Numerous neurological diseases, such as Alzheimer's, Parkinson's, epilepsy are caused by the abnormal collective behaviour of neurons in the brain. In particular, there is a strong evidence that Parkinson's disease is caused by the synchronisation of neurons, and understanding how and why such synchronisation occurs will bring scientists closer to the design and implementation of appropriate control to support desynchronisation required for the normal functioning of the brain. In order to study the emergence of (de)synchronisation, it is necessary first to understand how the dynamical behaviour of the system under consideration depends on the changes in systems parameters. This can be done using a powerful mathematical method, called bifurcation analysis, which allows one to identify and classify different dynamical regimes, such as, for example, stable/unstable steady states, Hopf and fold bifurcations, and find periodic solutions by varying parameters of the nonlinear system. In real-world systems, interactions between elements do not happen instantaneously due to a finite time of signal propagation, reaction times of individual elements, etc. Moreover, time delays are normally non-constant and may vary with time. This means that it is vital to introduce time delays in any realistic model of neural networks. In this thesis, I consider four different models. First, in order to analyse the fundamental properties of neural networks with time-delayed connections, I consider a system of four coupled nonlinear delay differential equations. This model represents a neural network, where one subsystem receives a delayed input from another subsystem. The exciting feature of this model is the combination of both discrete and distributed time delays, where distributed time delays represent the neural feedback between the two sub-systems, and the discrete delays describe neural interactions within each of the two subsystems. Stability properties are investigated for different commonly used distribution kernels, and the results are compared to the corresponding stability results for networks with no distributed delays. It is shown how approximations to the boundary of stability region of an equilibrium point can be obtained analytically for the cases of delta, uniform, and gamma delay distributions. Numerical techniques are used to investigate stability properties of the fully nonlinear system and confirm our analytical findings. In the second part of this thesis, I consider a globally coupled network composed of active (oscillatory) and inactive (non-oscillatory) oscillators with distributed time delayed coupling. Analytical conditions for the amplitude death, where the oscillations are quenched, are obtained in terms of the coupling strength, the ratio of inactive oscillators, the width of the uniformly distributed delay and the mean time delay for gamma distribution. The results show that for uniform distribution, by increasing both the width of the delay distribution and the ratio of inactive oscillators, the amplitude death region increases in the mean time delay and the coupling strength parameter space. In the case of the gamma distribution kernel, we find the amplitude death region in the space of the ratio of inactive oscillators, the mean time delay for gamma distribution, and the coupling strength for both weak and strong gamma distribution kernels. Furthermore, I analyse a model of the subthalamic nucleus (STN)-globus palidus (GP) network with three different transmission delays. A time-shift transformation reduces the model to a system with two time delays, for which the existence of a unique steady state is established. Conditions for stability of the steady state are derived in terms of system parameters and the time delays. Numerical stability analysis is performed using traceDDE and DDE-BIFTOOL in Matlab to investigate different dynamical regimes in the STN-GP model, and to obtain critical stability boundaries separating stable (healthy) and oscillatory (Parkinsonian-like) neural ring. Direct numerical simulations of the fully nonlinear system are performed to confirm analytical findings, and to illustrate different dynamical behaviours of the system. Finally, I consider a ring of n neurons coupled through the discrete and distributed time delays. I show that the amplitude death occurs in the symmetric (asymmetric) region depending on the even (odd) number of neurons in the ring neural system. Analytical conditions for linear stability of the trivial steady state are represented in a parameter space of the synaptic weight of the self-feedback and the coupling strength between the connected neurons, as well as in the space of the delayed self-feedback and the coupling strength between the neurons. It is shown that both Hopf and steady-state bifurcations may occur when the steady state loses its stability. Stability properties are also investigated for different commonly used distribution kernels, such as delta function and weak gamma distributions. Moreover, the obtained analytical results are confirmed by the numerical simulations of the fully nonlinear system.

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Huang, Wei-Ping. "Quasilinear Control of Systems with Time-Delays and Nonlinear Actuators and Sensors." ScholarWorks @ UVM, 2018. https://scholarworks.uvm.edu/graddis/967.

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This thesis investigates Quasilinear Control (QLC) of time-delay systems with nonlinear actuators and sensors and analyzes the accuracy of stochastic linearization for these systems. QLC leverages the method of stochastic linearization to replace each nonlinearity with an equivalent gain, which is obtained by solving a transcendental equation. The idea of QLC is to stochastically linearize the system in order to analyze and design controllers using classical linear control theory. In this thesis, the existence of the equivalent gain for a closed-loop time-delay system is discussed. To compute the equivalent gain, two methods are explored. The first method uses an explicit but complex algorithm based on delay Lyapunov equation to study the time-delay, while the second method uses Pade approximant. It is shown that, under a suitable criterion, Pade approximant can be effectively applied for QLC of time-delay systems. Furthermore, the method of Saturated-Root Locus (S-RL) is extended to nonlinear time-delay systems. It turns out that, in a time-delay system, S-RL always terminates prematurely as opposed to a delay-free system, which may or may not terminate prematurely. Statistical experiments are performed to investigate the accuracy of stochastic linearization compared to a system without time-delay. The impact of increasing the time-delay in the approach of stochastic linearization is also investigated. Results show that stochastic linearization effectively linearizes a nonlinear time-delay system, even though delays generally degrade accuracy. Overall, the accuracy remains relatively high over the selected parameters. Finally, this approach is applied to pitch control in a wind turbine system as a practical example of a nonlinear time-delay system, and its performance is analyzed to demonstrate the efficacy of the approach.

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Wang, Qing, and 王卿. "Model reduction for dynamic systems with time delays: a linear matrix inequality approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38645439.

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Stupak, Noah. "Time-delays and system response times in human-computer interaction /." Online version of thesis, 2009. http://hdl.handle.net/1850/10867.

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Umang, Nitish. "Evaluating passenger delays in the US domestic air transportation system." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60813.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 104-107).
A fundamental component of any National Airspace System (NAS) performance evaluation is the cost impact of air traffic delays, and more generally capacity limitations, on the traveling passengers. In previous research it has been conclusively shown that flight delay data and flight centric metrics fail to accurately represent the passenger travel experience and passenger trip delays accurately. This is because they do not capture the effect of passenger itinerary disruptions such as flight cancellations and mis connections. There are several complexities and subtleties underlying the conversion of flight delay data to passenger trip delay data, because of which delay cost to passengers is typically not measured accurately nor understood well. The primary aim of this thesis is to use the passenger-based metric, passenger delay, to capture the effect of itinerary disruptions, and evaluate the performance of the air transportation system from the passenger's perspective. A new methodology to improve current estimates of passenger delays relying solely on publically available data sources is reviewed. Later, the methodology is applied to estimate the magnitude of passenger delays in the US domestic air transportation system for the year 2007. The passenger trip data generated using this methodology is also used to carry out a comprehensive disaggregate analysis of air traffic delays in the US domestic air transportation system for the same timeframe.
by Nitish Umang.
S.M.in Transportation

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Tu, Yufeng. "Air transportation system performance estimation and comparative analysis of departure delays /." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/4135.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Business and Management. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Evans, Antony David 1977. "Responses to airport delays : a system study of Newark International Airport." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28254.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2002.
Includes bibliographical references (p. 119-121).
Airport delays are a significant problem in the United States air transportation system. Between 1997 and 2000 the number of flights delayed increased by between 20 and 25% per year, despite only a 3 to 5% increase in enplanements per year. Newark International Airport (EWR), one of New York City's primary airports, is one of the airports in the United States most impacted by delays. Newark had the highest percentage of operations delayed in 1999, and was second only to LaGuardia Airport in 2000. Nearly 85% of delays at Newark are caused by adverse weather impacting the airport. Because of limited capacity and a very full schedule operated at the airport, when adverse weather impacts the airport departure operations are severely delayed. Despite this, unlike the national average, delays at Newark have not increased significantly since 1998. This indicates that the airlines, air traffic control (ATC), and the Port Authority of New York and New Jersey have successfully adapted. On June 29, 2000, a research team from MIT visited Newark Airport to identify the key problems and assess the effectiveness of any adaptations made. Results of this study indicate that airspace capacity limitations downstream of the airport become a primary flow constraint at the airport, and that when these constraints occur they are the source of most surface delays. Responses to the delays at Newark have been both tactical and strategic. Key tactical ATC responses examined include the application of restrictions; re-routing with the help of the National Playbook; the use of decision-aiding tools; improved inter-facility communication; and utilization of runway 11-29. Key strategic ATC responses examined include the formation of the Air Traffic Control System Command Center, and the New York airspace redesign. A number of tactical airline responses to delays were also examined, including cancellation of low priority flights and the transfer of the passengers to ground transportation; pre-sequencing of departures; and improved access to information. Key strategic responses examined include changes to the schedule operated at the airport, and particularly flattening out of the banks operated; a new fleet, which requires less maintenance and has greater dispatch reliability; and improved relations with the FAA and Port Authority of New York and New Jersey. After examination of the problems at the 10 most delayed airports in the United States, the applicability of the key responses identified at Newark to these airports was also examined in detail. Those airports for which the most responses were identified to be applicable were Atlanta, San Francisco, Philadelphia and Dallas/Fort Worth. Those responses identified to be most applicable to other airports were the further extension of the National Playbook to other regions, the use of decision aiding tools, airspace redesign, pre-sequencing of departures, and a decrease in the number of operations at the airport. A policy analysis was completed for each of these responses.
by Antony David Evans.
S.M.

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Feyzmahdavian, Hamid Reza. "Performance Analysis of Positive Systems and Optimization Algorithms with Time-delays." Doctoral thesis, KTH, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177651.

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Time-delay dynamical systems are used to model many real-world engineering systems, where the future evolution of a system depends not only on current states but also on the history of states. For this reason, the study of stability and control of time-delay systems is of theoretical and practical importance. In this thesis, we develop several stability analysis frameworks for dynamical systems in the presence of communication and computation time-delays, and apply our results to different challenging engineering problems. The thesis first considers delay-independent stability of positive monotone systems. We show that the asymptotic stability of positive monotone systems whose vector fields are homogeneous is independent of the magnitude and variation of time-varying delays. We present explicit expressions that allow us to give explicit estimates of the decay rate for various classes of time-varying delays. For positive linear systems, we demonstrate that the best decay rate that our results guarantee can be found via convex optimization. We also derive a set of necessary and sufficient conditions for asymptotic stability of general positive monotone (not necessarily homogeneous) systems with time-delays. As an application of our theoretical results, we discuss delay-independent stability of continuous-time power control algorithms in wireless networks. The thesis continues by studying the convergence of asynchronous fixed-point iterations involving maximum norm pseudo-contractions. We present a powerful approach for characterizing the rate of convergence of totally asynchronous iterations, where both the update intervals and communication delays may grow unbounded. When specialized to partially asynchronous iterations (where the update intervals and communication delays have a fixed upper bound), or to particular classes of unbounded delays and update intervals, our approach allows to quantify how the degree of asynchronism affects the convergence rate. In addition, we use our results to analyze the impact of asynchrony on the convergence rate of discrete-time power control algorithms in wireless networks. The thesis finally proposes an asynchronous parallel algorithm that exploits multiple processors to solve regularized stochastic optimization problems with smooth loss functions. The algorithm allows the processors to work at different rates, perform computations independently of each other, and update global decision variables using out-of-date gradients. We characterize the iteration complexity and the convergence rate of the proposed algorithm, and show that these compare favourably with the state of the art. Furthermore, we demonstrate that the impact of asynchrony on the convergence rate of the algorithm is asymptotically negligible, and a near-linear speedup in the number of processors can be expected.
Tidsfördröjningar uppstår ofta i tekniska system: det tar tid för två ämnen attblandas, det tar tid för en vätska att rinna från ett kärl till ett annat, och det tar tid att överföra information mellan delsystem. Dessa tidsfördröjningar lederofta till försämrad systemprestanda och ibland även till instabilitet. Det är därförviktigt att utveckla teori och ingenjörsmetodik som gör det möjligt att bedöma hur tidsfördröjningar påverkar dynamiska system. I den här avhandlingen presenteras flera bidrag till detta forskningsområde. Fokusligger på att karaktärisera hur tidsfördröjningar påverkar konvergenshastigheten hos olinjära dynamiska system. I kapitel 3 och 4 behandlar vi olinjära system varstillstånd alltid är positiva. Vi visar att stabiliteten av dessa positiva system är oberoende av tidsfördröjningar och karaktäriserar hur konvergenshastigheten hos olinjära positiva system beror på tidsfördröjningarnas storlek. I kapitel 5 betraktar vi iterationer som är kontraktionsavbildningar, och analyserar hur deras konvergens påverkas av begränsade och obegränsade tidsfördröjningar. I avhandlingens sistakapitel föreslår vi en asynkron algoritm för stokastisk optimering vars asymptotiska konvergenshastighet är oberoende av tidsfördröjningar i beräkningar och i kommunikation mellan beräkningselement.

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Books on the topic "System Delays"

1

Wu, Zheng-Guang. Analysis and Synthesis of Singular Systems with Time-Delays. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Office, Home. Tackling delays in the youth justice system: A consultation paper. London: Home Office Communication Directorate, 1997.

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Odijk, Dennis. Fast precise GPS positioning in the presence of ionospheric delays. Delft: NCG, Nederlandse Commissie voor Geodesie, 2002.

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Burns, John. On non-convergence of adjoint semigroups for control systems with delays. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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Burns, John. On non-convergence of adjoint semigroups for control systems with delays. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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Burns, John. On non-convergence of adjoint semigroups for control systems with delays. Hampton, Va: ICASE, 1987.

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Oztas, Ahmet. The mitigation of the effects of delays in construction projects: A knowledge based system approach. Manchester: UMIST, 1995.

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Frank, Lawrence Henry. Effects of visual display and motion system delays on operator performance and uneasiness in a driving simulator. Blacksburg, Va: Virginia Polytechnic Institute and State University, 1986.

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Brain dynamics: Synchronization and activity patterns in pulse-coupled neural nets with delays and noise. Berlin: Springer, 2002.

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Office, General Accounting. ICBM modernization: Availability problems and flight test delays in Peacekeeper program : report to the chairman, Committee on Armed Services, House of Representatives. Washington, D.C: The Office, 1989.

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Book chapters on the topic "System Delays"

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Zalluhoglu, Umut, and Nejat Olgac. "Analysis of Thermoacoustic Instability: A Time-Delay System Approach." In Advances in Delays and Dynamics, 349–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53426-8_23.

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Adkhamova, A. S., and A. L. Skubachevskii. "Damping Problem for Multidimensional Control System with Delays." In Communications in Computer and Information Science, 612–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51917-3_52.

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Huang, Dan, and Sing Kiong Nguang. "Takagi–Sugeno Fuzzy Control System." In Robust Control for Uncertain Networked Control Systems with Random Delays, 87–91. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-678-6_8.

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Wall, Friederike. "Dynamic (Dis-)Information in Self-adaptive Distributed Search Systems with Information Delays." In Multiagent System Technologies, 174–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45889-2_13.

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Doi, Pati, and Hideaki Matsunaga. "Oscillation Criteria for a Difference System with Two Delays." In Differential and Difference Equations with Applications, 285–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75647-9_23.

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Yang, Bo, and Yuanzhang Sun. "Delay-Dependent Small Signal Stability for Power System with Constant and Time-Varying Delays." In Lecture Notes in Electrical Engineering, 135–42. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4981-2_15.

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Hua, Changchun, Yana Yang, Xian Yang, and Xinping Guan. "Stability Analysis of Teleoperation Systems with Asymmetric Time-Varying Delays." In Analysis and Design for Networked Teleoperation System, 21–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7936-9_2.

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Shan, Wei-Long, Wu-Neng Zhou, and Ming-Hao Li. "Consensus Problems of DM System Network with Different Time-Delays." In Advances in Intelligent and Soft Computing, 341–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27866-2_41.

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Deng, Weihua, Pengfei Chen, Kang Li, and Chuanfeng Li. "Control Strategies for the Microgrid Control System with Communication Delays." In Communications in Computer and Information Science, 579–86. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6364-0_58.

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Hua, Changchun, Yana Yang, Xian Yang, and Xinping Guan. "Stability Analysis of Teleoperation Systems with Asymmetric Interval Time-Varying Delays." In Analysis and Design for Networked Teleoperation System, 45–66. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7936-9_4.

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Conference papers on the topic "System Delays"

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Sipahi, Rifat, and Nejat Olgac. "Stability Analysis of Multiple Time Delayed Systems Using the Direct Method." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41495.

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A novel treatment for the stability of a class of linear time invariant (LTI) systems with rationally independent multiple time delays using the Direct Method (DM) is studied. Since they appear in many practical applications in the systems and control community, this class of dynamics has attracted considerable interest. The stability analysis is very complex because of the infinite dimensional nature (even for single delay) of the dynamics and furthermore the multiplicity of these delays. The stability problem is much more challenging compared to the TDS with commensurate time delays (where time delays have rational relations). It is shown in an earlier publication of the authors that the DM brings a unique, exact and structured methodology for the stability analysis of commensurate time delayed cases. The transition from the commensurate time delays to multiple delay case motivates our study. It is shown that the DM reveals all possible stability regions in the space of multiple time delays. The systems that are considered do not have to possess stable behavior for zero delays. We present a numerical example on a system, which is considered “prohibitively difficult” in the literature, just to exhibit the strengths of the new procedure.

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Cavdaroglu, Mursel Emre, and Nejat Olgac. "Full State Feedback Control Design for “Delay Scheduling”." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2127.

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A fixed full state feedback controller design approach is proposed for linear time invariant (LTI) systems with time delays. This approach enables the designer to use recently introduced “delay scheduling” procedure, which opens a new direction in control synthesis. “Delay scheduling” strategy suggests prolonging the existing (and unavoidable) delays in order to recover stability or to improve the control performance features. To be able to do this, however, system should have multiple stable operating zones in the domain of the delays. The main contribution of this paper is to develop a procedure for designing such a control law. It starts with a simple usage of LQR for non-delayed systems. This approach, nevertheless, imparts some complexities when delays are introduced. We handle them using a recent paradigm, called the Cluster Treatment of Characteristic Roots (CTCR). For an example to the ensuing design strategy, we use a fully actuated cart-pendulum system. Relevant simulations are carried out to show the viability of the proposed idea.

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Pietarila, Kristel M., and Roger Fales. "Developing and Automating Time Delay System Stability Analysis of Machinery Systems Using the Matrix Lambert W Function Method." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2246.

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Stability analysis of time delayed (TD) systems is not easy to conduct since the addition of delays within a dynamic model results in irrational system equations. Traditional analysis methods involve adding model approximates representing delays. These approximates make the system equations rational, but can drive stable TD systems to instability as approximate accuracy is improved. A more advanced method would be an invaluable tool for simplifying the stability analysis procedure for TD systems. A new method for analyzing TD system stability without adding TD approximates to the system has been presented by Asl et al. [1, 2]. This method involves using the Lambert W function to obtain analytic solutions for a set of delay differential equations. The research presented in this paper discusses the development and automation of TD system stability analysis for a complex machinery system utilizing this new method, the matrix Lambert W (MLW) function TD stability analysis method.

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BLASIC, JOHN. "Weather and system delays." In 25th AIAA Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-442.

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Abel, Imoleayo, Mrdjan Janković, and Miroslav Krstić. "Constrained Control of Input Delayed Systems With Partially Compensated Input Delays." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3271.

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Abstract Control Barrier Functions (CBFs) have become popular for enforcing — via barrier constraints — the safe operation of nonlinear systems within an admissible set. For systems with input delay(s) of the same length, constrained control has been achieved by combining a CBF for the delay free system with a state predictor that compensates the single input delay. Recently, this approach was extended to multi input systems with input delays of different lengths. One limitation of this extension is that barrier constraint adherence can only be guaranteed after the longest input delay has been compensated and all input channels become available for control. In this paper, we consider the problem of enforcing constraint adherence when only a subset of input delays have been compensated. In particular, we propose a new barrier constraint formulation that ensures that when possible, a subset of input channels with shorter delays will be utilized for keeping the system in the admissible set even before longer input delays have been compensated. We include a numerical example to demonstrate the effectiveness of the proposed approach.

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Meng, Xinzhu, Huidong Cheng, and Lansun Chen. "Profitless delays for permanence in a pure-delayed nonautonomous Lotka-Volterra competitive system with infinite delays and discrete delays." In Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007). IEEE, 2007. http://dx.doi.org/10.1109/snpd.2007.53.

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Song, Bo, and Jian-Qiao Sun. "Supervisory Control of Dynamical Systems With Uncertain Time Delays." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87630.

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This paper presents a study of controlling dynamical systems with uncertain and varying time delays. We apply the supervisory control algorithm to handle uncertainties in time delay. The hysteretic switching rule selects control gains out of the set of pre-determined optimal feedback gains for certain time delays in a range with known lower and upper bounds. The criterion is to judge when the system stays stable for any gains being selected and has a smaller switching index when the uncertain time delay varies in a known interval. A linear time-invariant system is used as an example to demonstrate the theoretical work.

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Zafer, Naci. "Delayed Feedback Control in Bilateral Teleoperation." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95440.

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Stabilization of time delay systems is currently a mainstream of research. In this paper, a delayed feedback controller is considered for internet-based teleoperation, where the master and the slave manipulators are bilaterally connected through a communication channel. A frequency based approach is employed for the stability analysis of teleoperation in spite of varying time delays. The derived approach is exact in telling weather the system is stable, whenever the system parameters including the delay are prescribed. The analysis formulates the stability intervals as delay varies. It is also shown how delayed negative feedback is able to stabilize oscillatory system dynamics. The results are illustrated with numerical examples.

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Simeunovic´, Goran, and Ivo Bukovsky. "The Implementation of the Dynamic-Order-Extended Time-Delay Dynamic Neural Units to Heat Transfer System Modelling." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48414.

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The paper introduces linear dynamic-order extended time-delay dynamic neural unit (DOE TmD-DNU) whose adaptation by the dynamic backpropagation learning rule is enhanced by the genetic algorithm. DOE TmD-DNU is a possible customization of novel class of artificial neurons called time-delay dynamic neural units (TmD-DNU). In standalone implementations, these artificial dynamic neural architectures can be viewed as analogies to continuous time-delay differential equations, where the equation parameters are unknown and are adaptable such as neural weights and other parameters of artificial neurons. Time delays on neural inputs of a unit and in the state feedback of a unit are also considered as unit’s adaptable neural parameters. These new neural units equipped with adaptable time delays can identify all parameters of a continuous time-delay dynamic system including unknown time delays both in the unit’s inputs as well as in its state variables. Incorporation of adaptable time delays into neural units significantly increases approximation capability of individual neural units. It results in simplification of a neural architecture and minimization of the number of neural parameters, and thus possibly in better understanding the obtained neural model. It has been shown, that stable adaptation of all parameters of TmD-DNU including time delays can be achieved by dynamic modification of backpropagation learning algorithm. However, sometimes the relatively slow convergence rate of the neural parameters and the convergence rather toward local minima of error function can be considered as drawbacks of the adaptation. This paper focuses the improvement of the backpropagation learning algorithm of TmD-DNU by the genetic algorithm and its application to heat transfer system modeling. The adaptation learning algorithm based on the simultaneous combination of dynamic backpropagation and genetic algorithm has been designed to accelerate the convergence of time-delay parameters of a neural unit and to achieve the global character of minimization of error function. The neural weights and parameters, except the time-delays, are adapted by dynamic modification of backpropagation learning algorithm, and those that represent time-delays can be adapted by the genetic algorithm. Results on system identification of an unknown system with dynamics of higher-order including unknown time delays are shown in comparison to achievements by common identification methods applied to the same system. The robust identification capabilities, the aspects of network implementation of TmD-DNU, and the prospects of their nonlinear versions, i.e. higher-order nonlinear time delay dynamic neural units (TmD-HONNU) are briefly discussed with respect to the learning technique presented in this paper.

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Olgac, Nejat. "A Novel Technique for the Stability of Multiple Frequency Resonators." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8023.

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Abstract A novel stability analysis is presented for feedback controlled systems with multiple unrelated time delays. The concern arises in an effort creating multi-frequency delayed resonators. Despite the broad treatment of single time delay cases there is no mechanism to analyze the stability of systems involving multiple delays. The proposed method is an advancement over the D-subdivision methodology. It reduces the stability based subdivisions and search to a single dimensional space instead of multiple dimensional platform. The method is very simple to implement and it results in the stability assessment of the given system as the number of unstable root pairs present.

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Reports on the topic "System Delays"

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Carney, David. Case Study: Significant Schedule Delays in a Complex NDI-Based System. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada634143.

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Yu, Shu-Ling, and Jon Fricker. A Highway Travel Information System: Forecasting and Publicizing Delays in the Indiana State Highway Network. West Lafayette, IN: Purdue University, 2004. http://dx.doi.org/10.5703/1288284313126.

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Kushner, Harold J. Numerical Approximations for Nonlinear Stochastic Systems With Delays. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada459437.

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Okusaga, Olukayode K. Photonic Delay-line Phase Noise Measurement System. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada553302.

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Annaswamy, Anuradha M. Adaptive Control of Nonlinear Time-Delay Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada441542.

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Banks, H. T., Sava Dediu, and Hoan K. Nguyen. Time Delay Systems with Distribution Dependent Dynamics. Fort Belvoir, VA: Defense Technical Information Center, May 2006. http://dx.doi.org/10.21236/ada447038.

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Illing, Lucas, J. N. Blakely, and Daniel J. Gauthier. Time-Delay Systems with Band-Limited Feedback. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada477700.

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Tuite, Ashleigh R., David N. Fisman, Ayodele Odutayo, Pavlos Bobos, Vanessa Allen, Isaac I. Bogoch, Adalsteinn D. Brown, et al. COVID-19 Hospitalizations, ICU Admissions and Deaths Associated with the New Variants of Concern. Ontario COVID-19 Science Advisory Table, March 2021. http://dx.doi.org/10.47326/ocsat.2021.02.18.1.0.

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New variants of concern (VOCs) now account for 67% of all Ontario SARS-CoV-2 infections. Compared with early variants of SARS-CoV-2, VOCs are associated with a 63% increased risk of hospitalization, a 103% increased risk of intensive care unit (ICU) admission and a 56% increased risk of death due to COVID-19. VOCs are having a substantial impact on Ontario’s healthcare system. On March 28, 2021, the daily number of new SARS-CoV-2 infections in Ontario reached the daily number of cases observed near the height of the second wave, at the start of the province-wide lockdown, on December 26, 2020. The number of people hospitalized with COVID-19 is now 21% higher than at the start of the province-wide lockdown, while ICU occupancy is 28% higher (Figure 1). The percentage of COVID-19 patients in ICUs who are younger than 60 years is about 50% higher now than it was prior to the start of the province-wide lockdown. Because the increased risk of COVID-19 hospitalization, ICU admission and death with VOCs is most pronounced 14 to 28 days after diagnosis, there will be significant delays until the full burden to the health care system becomes apparent.

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Tantawi, S. Multimoded Reflective Delay Lines and Their Application to Resonant Delay Line RF Pulse Compression Systems. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/826970.

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Coco, David S., Scott R. Dahike, and Clayton Coker. Effect of GPS System Biases on Differential Group Delay Measurements. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada220284.

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