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Relevant bibliographies by topics / Linear stochastic dynamic systems / Dissertations / Theses

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Dissertations / Theses on the topic 'Linear stochastic dynamic systems'

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Published: 5 June 2025

Last updated: 16 July 2025

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1

Erbes, Teodora. "Stochastic Learning Feedback Hybrid Automata for Dynamic Power Management in Embedded Systems." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9709.

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Dynamic Power Management (DPM) refers to the strategies employed at system level to reduce energy expenditure (i.e. to prolong battery life) in embedded systems. The trade-off involved in DPM techniques is between the reductions of energy consumption and latency incurred by the jobs to be executed by the system. Such trade-offs need to be decided at runtime making DPM an on-line problem. In this context, the contributions of this thesis are two-fold. Firstly, we formulate the DPM problem as a hybrid automaton control problem. We model a timed hybrid automaton to mathematically analyze various

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2

Ranganathan, Shyam. "Non-linear dynamic modelling for panel data in the social sciences." Doctoral thesis, Uppsala universitet, Tillämpad matematik och statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-261289.

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Non-linearities and dynamic interactions between state variables are characteristic of complex social systems and processes. In this thesis, we present a new methodology to model these non-linearities and interactions from the large panel datasets available for some of these systems. We build macro-level statistical models that can verify theoretical predictions, and use polynomial basis functions so that each term in the model represents a specific mechanism. This bridges the existing gap between macro-level theories supported by statistical models and micro-level mechanistic models supported

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3

Pridham, Brad A. Wilson John C. "State space modeling and identification of stochastic linear structural systems." *McMaster only, 2004.

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4

Hanowsky, Michael John. "A model to design a stochastic and dynamic ground delay program subject to non-linear cost functions." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43849.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.<br>Includes bibliographical references (p. 245-247).<br>When inclement weather reduces the arrival capacity of a busy metropolitan airport, it may lead to significant airborne delays. Delaying aircraft in the air consumes additional fuel, increases overall air traffic congestion, and may lead to costly flight diversions. As a result, during periods of inclement weather, the FAA may implement a Ground Delay Program (GDP) to proactively delay flights on the ground before they depart and reduce the possibi

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5

Beri, Stefano. "Stochastic dynamics in non-linear systems and maps with applications to the polarization dynamics in vertical cavity surface emitting lasers." Thesis, Lancaster University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423909.

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6

Schick, Ä°rvin C. (Ä°rvin Cemil). "Robust recursive estimation of the state of a discrete-time stochastic linear dynamic system in the presence of heavy-tailed observation noise." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14323.

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7

Kasinos, Stavros. "Seismic response analysis of linear and nonlinear secondary structures." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33728.

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Understanding the complex dynamics that underpin the response of structures in the occurrence of earthquakes is of paramount importance in ensuring community resilience. The operational continuity of structures is influenced by the performance of nonstructural components, also known as secondary structures. Inherent vulnerability characteristics, nonlinearities and uncertainties in their properties or in the excitation pose challenges that render their response determination as a non-straightforward task. This dissertation settles in the context of mathematical modelling and response quantific

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8

Calmon, Andre du Pin. "Variação do controle como fonte de incerteza." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259270.

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Orientador: João Bosco Ribeiro do Val<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-14T00:07:24Z (GMT). No. of bitstreams: 1 Calmon_AndreduPin_M.pdf: 862345 bytes, checksum: 122780715dca28ac7fa3199aa0586e7c (MD5) Previous issue date: 2009<br>Resumo: Este trabalho apresenta a caracterização teórica e a estratégia de controle para sistemas estocásticos em tempo discreto onde a variação da ação de controle aumenta a incerteza sobre o estado (sistemas VCAI). Este tipo de sistema possui várias

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9

Graham, Don. "A Comparative evaluation of FDSA,GA, AND SA NON-LINEAR PROGRAMMING ALGORITHMS and development OF SYSTEM-OPTIMAL METHODOLOGY FOR DYNAMIC PRICING ON I-95 Express." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5940.

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As urban population across the globe increases, the demand for adequate transportation grows. Several strategies have been suggested as a solution to the congestion which results from this high demand outpacing the existing supply of transportation facilities. High –Occupancy Toll (HOT) lanes have become increasingly more popular as a feature on today's highway system. The I-95 Express HOT lane in Miami Florida, which is currently being expanded from a single Phase (Phase I) into two Phases, is one such HOT facility. With the growing abundance of such facilities comes the need for in- depth st

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10

Roy, Sandip 1978. "Moment-linear stochastic systems and their applications." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87904.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 263-271).<br>Our work is motivated by the need for tractable stochastic models for complex network and system dynamics. With this motivation in mind, we develop a class of discrete-time Markov models, called moment-linear stochastic systems (MLSS), which are structured so that moments and cross-moments of the state variables can be computed efficiently, using linear recursions. We show that MLSS provide a common framework for representin

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11

Poire, Xavier Corvera. "Model generation and sampling algorithms for dynamic stochastic programming." Thesis, University of Essex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294674.

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12

Walker, Jimmie Dale 1977. "Analysis of primitive linear and nonlinear stochastic systems." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86841.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.<br>"September 29, 2000."<br>Includes bibliographical references (p. 91-92).<br>by Jimmie Dale Walker, III.<br>M.Eng.

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13

Feng, Xiangbo. "Lyapunov exponents and stability of linear stochastic systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054928844.

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14

Foliente, Greg C. "Stochastic dynamic response of wood structural systems." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-05042006-164535/.

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15

Galanis, Georgios. "Dynamic polynomial combinants and linear systems." Thesis, City University London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527471.

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16

Chen, Rong. "Dual control of linear stochastic systems with unknown parameters." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054752594.

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17

Siu, Daniel. "Stochastic Hybrid Dynamic Systems: Modeling, Estimation and Simulation." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4405.

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Stochastic hybrid dynamic systems that incorporate both continuous and discrete dynamics have been an area of great interest over the recent years. In view of applications, stochastic hybrid dynamic systems have been employed to diverse fields of studies, such as communication networks, air traffic management, and insurance risk models. The aim of the present study is to investigate properties of some classes of stochastic hybrid dynamic systems. The class of stochastic hybrid dynamic systems investigated has random jumps driven by a non-homogeneous Poisson process and deterministic jumps trig

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18

Zhang, Qichun. "Probabilistic decoupling for dynamic multi-variable stochastic systems." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/probabilistic-decoupling-for-dynamic-multivariable-stochastic-systems(c872ed24-a9d8-43eb-a605-3a00dc889407).html.

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Decoupling control is widely applied to multi-input multi-output industrial processes. The traditional decoupling control methods are based on accurate models, however it is difficult or impossible to obtain accurate models in practice. Moreover, the traditional decoupling control methods are not suitable for the analysis of the couplings among system outputs which are subjected to the random noises. To solve the problems mentioned above, we will look into the decoupling control problem in probability sense. To describe this control problem, probabilistic decoupling has been presented as a nov

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19

Zhou, Yimin. "Fault identificaiton in non-linear dynamic systems." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494397.

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A fuzzy relational sliding mode observer (FRSMO) and proportional integral observer (FRPIO) are proposed to estimate the magnitude of slowly evolving faults in information-poor, i.e., difficult to model and non-linear systems. Where there is no fault in the system, the mismatch between the actual output and the model output can be shown to be zero. When the fault occurs in the system, the error is not zero, which is called a residual and can be used to diagnose the fault. In the fuzzy PI observer, the size of the fault can be obtained from the error passing the PI feedback compensation. In the

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20

Kahraman, Ahmet. "Non-linear dynamic analysis of geared systems /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487676847117141.

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21

Alrowaie, Feras A. "Fault isolation and alarm design in non-linear stochastic systems." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/52010.

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In this project, first we propose a novel model-based algorithm for fault detection and isolation (FDI) in stochastic non-linear systems. The algorithm is established based on parameter estimation by monitoring any changes in the behaviour of the process and identifying the faulty model using a bank of particle filters running in parallel with the process model. The particle filters are used to generate a sequence of hidden states, which are then used in a log-likelihood ratio to detect and isolate the faults. The newly developed scheme is demonstrated through implementation in two highly non-

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22

Hopkins, Mark A. "Pseudo-linear identification: optimal joint parameter and state estimation of linear stochastic MIMO systems." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53941.

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This dissertation presents a new method of simultaneous parameter and state estimation for linear, stochastic, discrete—time, multiple-input, multiple-output (MIMO) (B systems. This new method is called pseudo·Iinear identification (PLID), and extends an earlier method to the more general case where system input and output measurements are corrupted by noise. PLID can be applied to completely observable, completely controllable systems with known structure (i.e., known observability indexes) and unknown parameters. No assumptions on pole and zero locations are required; and no assumptions on r

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23

Azad, Saeed. "Combined Design and Control Optimization of Stochastic Dynamic Systems." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1602153122063302.

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24

Chen, Hairong. "Dynamic admission and dispatching control of stochastic distribution systems /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202003%20CHEN.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 117-130). Also available in electronic version. Access restricted to campus users.

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25

Wang, Jing. "Anomaly detection and dynamic decision making for stochastic systems." Thesis, Boston University, 2014. https://hdl.handle.net/2144/11079.

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Thesis (Ph.D.)--Boston University<br>This dissertation focuses on two types of problems, both of which are related to systems with uncertainties. The first problem concerns network system anomaly detection. We present several stochastic and deterministic methods for anomaly detection of networks whose normal behavior is not time-varying. Our methods cover most of the common techniques in the anomaly detection field. We evaluate all methods in a simulated network that consists of nominal data, three flow-level anomalies and one packet-level attack. Through analyzing the results, we summarize th

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26

Larrañaga, Maialen. "Dynamic control of stochastic and fluid resource-sharing systems." Thesis, Toulouse, INPT, 2015. http://www.theses.fr/2015INPT0075/document.

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Dans cette thèse, nous étudions le contrôle dynamique des systèmes de partage de ressources qui se posent dans divers domaines : réseaux de gestion des stocks, services de santé, réseaux de communication, etc. Nous visons à allouer efficacement les ressources disponibles entre des projets concurrents, selon certains critères de performance. Ce type de problème est de nature stochastique et peut être très complexe à résoudre. Nous nous concentrons donc sur le développement de méthodes heuristiques performantes. Dans la partie I, nous nous plaçons dans le cadre des Restless Bandit Problems, qui

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27

Cheng, Gang. "Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1236.

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Stochastic dynamic programming is a recursive method for solving sequential or multistage decision problems. It helps economists and mathematicians construct and solve a huge variety of sequential decision making problems in stochastic cases. Research on stochastic dynamic programming is important and meaningful because stochastic dynamic programming reflects the behavior of the decision maker without risk aversion; i.e., decision making under uncertainty. In the solution process, it is extremely difficult to represent the existing or future state precisely since uncertainty is a state of havi

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28

Wong, Wee Chin. "Estimation and control of jump stochastic systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31775.

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Thesis (Ph.D)--Chemical Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Jay H. Lee; Committee Member: Alexander Gray; Committee Member: Erik Verriest; Committee Member: Magnus Egerstedt; Committee Member: Martha Grover; Committee Member: Matthew Realff. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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29

Hall, Steven Ray. "A failure detection algorithm for linear dynamic systems." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15213.

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Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1985.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND AERO.<br>Vita.<br>Bibliography: leaves 312-316.<br>by Steven Ray Hall.<br>Sc.D.

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30

Özveren, Cüneyt M. "Asymptotic orders of reachability in linear dynamic systems." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14927.

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Thesis (Elec. E)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING<br>Bibliography: leaves 94-96.<br>by Cüneyt M. Özveren.<br>Elec.E

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31

Zhang, Ze. "Fault detection and isolation for linear dynamic systems." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9086.

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As modern control systems and engineering processes become increasingly more complex and integrated, the consequences of system failures and faults can be disastrous environmentally and economically. This thesis considers the fault detection and isolation (FDI) problem for linear time-invariant (LTI) systems subject to faults, disturbances and model uncertainties. Firstly, a novel on-line approach to the robust FDI problem for linear discrete-time systems is proposed by using input/output measurement analysis over a finite estimation horizon. Upper and lower bounds on the fault signal are comp

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32

Corneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.

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Cette thèse porte sur l’analyse de graphes dynamiques, définis en temps discret ou continu. Nous introduisons une nouvelle extension dynamique du modèle a blocs stochastiques (SBM), appelée dSBM, qui utilise des processus de Poisson non homogènes pour modéliser les interactions parmi les paires de nœuds d’un graphe dynamique. Les fonctions d’intensité des processus ne dépendent que des classes des nœuds comme dans SBM. De plus, ces fonctions d’intensité ont des propriétés de régularité sur des intervalles temporels qui sont à estimer, et à l’intérieur desquels les processus de Poisson redevien

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33

Enqvist, Martin. "Linear Models of Nonlinear Systems." Doctoral thesis, Linköping : Linköpings universitet, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5330.

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34

Oh, Sang Min. "Switching linear dynamic systems with higher-order temporal structure." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29698.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.<br>Committee Chair: Dellaert, Frank; Committee Co-Chair: Rehg, James; Committee Member: Bobick, Aaron; Committee Member: Essa, Irfan; Committee Member: Smyth, Padhraic. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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35

Folia, Maria Myrto. "Inference in stochastic systems with temporally aggregated data." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/inference-in-stochastic-systems-with-temporally-aggregated-data(17940c86-e6b3-4f7d-8a43-884bbf72b39e).html.

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The stochasticity of cellular processes and the small number of molecules in a cell make deterministic models inappropriate for modelling chemical reactions at the single cell level. The Chemical Master Equation (CME) is widely used to describe the evolution of biochemical reactions inside cells stochastically but is computationally expensive. The Linear Noise Approximation (LNA) is a popular method for approximating the CME in order to carry out inference and parameter estimation in stochastic models. Data from stochastic systems is often aggregated over time. One such example is in luminesce

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36

Fisher, James Robert. "Stability analysis and control of stochastic dynamic systems using polynomial chaos." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2853.

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37

Draper, Stark Christiaan. "Learning augmented recursive estimation for unceratin non-linear dynamic systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38825.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 97-99).<br>by Stark Christiaan Draper.<br>M.S.

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38

Veeraklaew, Tawiwat. "Optimization of linear time-invariant dynamic systems without lagrange multipliers." Ohio University / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178821882.

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39

Lutz, Collin C. "Switched Markov Jump Linear Systems: Analysis and Control Synthesis." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50859.

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Markov jump linear systems find application in many areas including economics, fault-tolerant control, and networked control. Despite significant attention paid to Markov jump linear systems in the literature, few authors have investigated Markov jump linear systems with time-inhomogeneous Markov chains (Markov chains with time-varying transition probabilities), and even fewer authors have considered time-inhomogeneous Markov chains with a priori unknown transition probabilities. This dissertation provides a formal stability and disturbance attenuation analysis for a Markov jump linear system

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40

González, Zumba Jorge Andrés. "Dynamic Modeling and Stability Analysis of Stochastic Multi-Physical Systems Applied to Electric Power Systems." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/158558.

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[ES] La naturaleza aleatoria que caracteriza algunos fenómenos en sistemas físicos reales (e.g., ingeniería, biología, economía, finanzas, epidemiología y otros) nos ha planteado el desafío de un cambio de paradigma del modelado matemático y el análisis de sistemas dinámicos, y a tratar los fenómenos aleatorios como variables aleatorias o procesos estocásticos. Este enfoque novedoso ha traído como consecuencia nuevas especificidades que la teoría clásica del modelado y análisis de sistemas dinámicos deterministas no ha podido cubrir. Afortunadamente, maravillosas contribuciones, realizadas sob

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41

Kasperski, Michael William. "Multiple model estimation for linear stochastic hybrid systems with non-homogeneous transition probabilities." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101496.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 61-64).<br>This thesis investigates the field of stochastic hybrid estimation. A broad introduction to the framework surrounding estimation, filtering, and multiple model based systems is presented. More specifically, the often made assumption of a constant time-invariant mode transition probability matrix is relaxed. Recent work done in the area of non-Markov jump stochastic hybrid systems is explored, inc

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42

Shu, Zhan, and 舒展. "Exponential estimates and synthesis of dynamic systems with time delayand stochasticity." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987796.

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43

Mazzarisi, Onofrio. "Diffusion in Hamiltonian systems under stochastic perturbations and LHC dynamic aperture issues." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13862/.

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In questo lavoro studiamo sistemi Hamiltoniani sottoposti a perturbazioni stocastiche e ne analiziamo applicazioni a problemi relativi all’apertura dinamica di LHC. Il moto betatronico non lineare di particelle sottoposte all’azione degli elementi magnetici di un acceleratore é ben descritto da sistemi Hamiltoniani perturbati. Una approfondita comprensione della dinamica di singola particella é cruciale per il buon funzionamento della macchina. In particolare il problema della perdita di intensità del fascio é stato affrontato in passato e sono state proposte leggi di scala per l’apertura di

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De, Queiroz Lima Roberta. "Modeling and simulation in nonlinear stochastic dynamic of coupled systems and impact." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1049/document.

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Dans cette Thèse, la conception robuste avec un modèle incertain d'un système électromécanique avec vibro-impact est fait. Le système électromécanique est constitué d'un chariot, dont le mouvement est excité par un moteur à courant continu et un marteau embarqué dans ce chariot. Le marteau est relié au chariot par un ressort non linéaire et par un amortisseur linéaire, de façon qu'un mouvement relatif existe entre eux. Une barrière flexible linéaire, placé à l'extérieur du chariot limite les mouvements de marteau. En raison du mouvement relatif entre le marteau et la barrière, impacts peuvent

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45

Erasmus, Gert Botha. "Stochastic models of steady state and dynamic operation of systems of congestion." Thesis, Pretoria : [s.n.], 2006. http://hdl.handle.net/2263/28814.

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(i) The thesis sets out to address the problematic phenomenon of Systems of Congestion via Basic Queueing Theory. The theory, and its application in practice, appears to be a field of study which is the common domain of “theorists” and “practitioners”. (ii) This professional dichotomy has come about due to diverging interests in that one group is mainly interested in the purity of mathematical modelling, and the other group is motivated to use modelling, which conveniently employs applications oriented solutions. (iii) The schism between the groups has been accentuated by the “practitioners” w

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Shu, Zhan. "Exponential estimates and synthesis of dynamic systems with time delay and stochasticity." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987796.

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Mazars, Emmanuel Francis Marie. "Robust fault detection and isolation for linear time-invariant dynamic systems." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437363.

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Gupta, Amit. "Model reduction and simulation of complex dynamic systems /." Online version of thesis, 1990. http://hdl.handle.net/1850/11265.

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Feurstein, Markus, and Martin Natter. "Neural networks, stochastic dynamic programming and a heuristic for valuing flexible manufacturing systems." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/1106/1/document.pdf.

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We compare the use of stochastic dynamic programming (SDP), Neural Networks and a simple approximation rule for calculating the real option value of a flexible production system. While SDP yields the best solution to the problem, it is computationally prohibitive for larger settings. We test two approximations of the value function and show that the results are comparable to those obtained via SDP. These methods have the advantage of a high computational performance and of no restrictions on the type of process used. Our approach is not only useful for supporting large investment decisions, bu

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Mazariegos, Raquel. "Optimal allocation of load variability for hydro systems : a stochastic dynamic programming approach." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/31973.

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The deregulation of the electric industry has motivated the companies involved in electricity business to optimize their system resources to remain competitive, but without overlooking the traditional objective of providing customers with an efficient and uninterrupted service. This requirement, in addition to the availability of detailed information on every specific system component, has encouraged the system operators to use optimization techniques for system planning and operation. One of the most important functions that the system operator performs is the system Economic Dispatch.

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