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Dissertations / Theses on the topic 'Method of identification systems'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Mao, Ke Zhi. "Nonlinear systems identification using the Narmax method." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310424.

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2

Fung, Jimmy Jr. "Parameter Identification of Nonlinear Systems Using Perturbation Methods and Higher-Order Statistics." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36921.

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A parametric identification procedure is proposed that combines the method of multiple scales and higher-order statistics to efficiently and accurately model nonlinear systems. A theoretical background for the method of multiple scales and higher-order statistics is given. Validation of the procedure is performed through applying it to numerical simulations of two nonlinear systems. The results show how the procedure can successfully characterize the system damping and nonlinearities and determine the corresponding parameters. The procedure is then applied to experimental measur

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3

Johnson, Amos Y. Jr. "A method for human identification using static, activity-specific parameters." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15793.

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4

LISITANO, DOMENICO. "Spatial damping identification and control of mechanical systems." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2734827.

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5

Ullah, Naseem. "Disease modules identification in heterogenous diseases with WGCNA method." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16692.

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The widely collected and analyzed genetic data help in understanding the underlying mechanisms of heterogeneous diseases. Cellular components interact in a network fashion where genes are nodes and edges are the interactions. The failure in individual genes lead to dys-regulation of sub-groups of genes which causes a disease phenotype, and this dys-functional region is called a disease module. Disease module identification in complex diseases such as asthma and cancer is a huge challenge. Despite the development of numerous sophisticated methods there is a still no gold standard. In this study

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6

Tayamon, Soma. "Nonlinear System Identification and Control Applied to Selective Catalytic Reduction Systems." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229148.

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The stringent regulations of emission levels from heavy duty vehicles create a demand for new methods for reducing harmful emissions from diesel engines. This thesis deals with the modelling of the nitrogen oxide (NOx) emissions from heavy duty vehicles using a selective catalyst as an aftertreatment system, utilising ammonia (NH3) for its reduction. The process of the selective catalytic reduction (SCR) is nonlinear, since the result of the chemical reactions involved depends on the load operating point and the temperature. The purpose of this thesis is to investigate different methods for no

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7

Larsson, Per. "Linear parameter varying model and identification method for Li-ion batteries in electric vehicles." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444687.

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The market for electric vehicles (EV) is growing rapidly. The rise of EVs is most prominent for passenger vehicles, but trucks and busses are also quickly becoming electrified. Scania aims to be the leader of this transition. A central part of the EV is the Lithium-ion battery. In order to use the battery in the most efficient manner a Battery Management System (BMS) is needed. A key part of the BMS is a model that describes the battery as a system where the input is the current and the output is the terminal voltage. The dynamics of the battery is affected by external factors, called scheduli

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8

Zhou, Ning. "Subspace methods of system identification applied to power systems." Laramie, Wyo. : University of Wyoming, 2005. http://proquest.umi.com/pqdweb?did=1095432761&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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9

McNabb, Patrick James. "Statistical method for identification of sources of electromechanical oscillations in power systems." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/9500.

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The use of real-time continuous dynamics monitoring often indicates dynamic behaviour that was not anticipated by model-based studies. In such cases it can be difficult to locate the sources of problems using conventional tools. This thesis details the possibility of diagnosing the causes of problems related to oscillatory stability using measurement-based data such as active power and mode decay time constant, derived from system models. The aim of this work was to identify dynamics problems independently of an analytical dynamic model, which should prove useful in diagnosing and correcting d

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10

Lei, Jun. "Static structural system identification using observability method." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/650829.

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During the construction and operation stages of structures, various factors lead to irreversible degradation that could affect the normal use and the public safety of these structures. In recent years, it has been common to carry out condition assessment of structures using Structural System Identification (SSI) methods. SSI is the application of parameter estimation in structural system. One key issue in SSI is to guarantee the observability of the parameters to be estimated. This was already addressed by the SSI by Observability Method (OM) using static tests. However, a systematic analysi

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11

Dam, Long H. "Applied Mass Properties Identification Method to the Cal Poly's Spacecraft Simulator." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1175.

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The Cal Poly Spacecraft Simulator is currently being developed for future testing and verifying theoretical control applications. This paper details the effort to balance the platform and remove undesired external torque from the system using System Identification technique developed by Patrick Healy. Since the relationship between the input and output of the system is linear, the least square method is proposed to identify the mass properties and location of center of mass of the system. The tests use four sine wave generators that are out of phase with different amplitudes as the inputs to e

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12

Chen, Min. "Excitation optimale d'un systeme parabolique en vue de son identification." Nantes, 1987. http://www.theses.fr/1987NANT2050.

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Le systeme considere est de type parabolique non lineaire. On montre l'existence et l'unicite de la solution du systeme et on le resoud numeriquement. On utilise les methodes d'optimisation du gradient conjugue et de gauss-newton pour l'identification des parametres avec l'excitation du systeme donnee puis on determine l'excitation optimale pour l'estimation des parametres dans le cas ou les parametres sont fonction de l'etat

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13

Krauss, Ryan. "Experimental Identification of Nonlinear Systems." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36912.

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A procedure is presented for using a primary resonance excitation in experimentally identifying the nonlinear parameters of a model approximating the response of a cantilevered beam by a single mode. The model accounts for cubic inertia and stiffness nonlinearities and quadratic damping. The method of multiple scales is used to determine the frequency-response function for the system. Experimental frequency- and amplitude-sweep data are compared with the prediction of the frequency-response function in a least-squares curve-fitting algorithm. The algorithm is improved by maki

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14

Holmberg, Wilhelm. "Cost-efficient method forlifetime extension ofinterconnectedcomputer-based systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303014.

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Lifetime and obsolescence of components for computer-based systems poses issues for continued usage and maintenance of the systems. This thesis investigates possible alternatives for lifetime extension of a train identification system used in Stockholm Metro. Research of other train identification systems available on the market were made to enable a cost comparison between lifetime extension and system replacement. Methods for extending lifetime of computer-based system, where components are obsolete, were investigated. Since most system documentation was inaccessible a reverse- engineering a

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15

Lertpaitoonpan, Wirat. "Bridge damage detection using a system identification method." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/amt2446/WiratDissertation3-10-00.pdf.

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Thesis (Ph. D.)--University of Florida, 2000.<br>Title from first page of PDF file. Document formatted into pages; contains xvi, 155 p.; also contains graphics. Vita. Includes bibliographical references (p. 152-154).

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16

Srinivas, L. "FIR System Identification Using Higher Order Cumulants -A Generalized Approach." Thesis, Indian Institute of Science, 1994. https://etd.iisc.ac.in/handle/2005/637.

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The thesis presents algorithms based on a linear algebraic solution for the identification of the parameters of the FIR system using only higher order statistics when only the output of the system corrupted by additive Gaussian noise is observed. All the traditional parametric methods of estimating the parameters of the system have been based on the 2nd order statistics of the output of the system. These methods suffer from the deficiency that they do not preserve the phase response of the system and hence cannot identify non-minimum phase systems. To circumvent this problem, hig

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17

Srinivas, L. "FIR System Identification Using Higher Order Cumulants -A Generalized Approach." Thesis, Indian Institute of Science, 1994. http://hdl.handle.net/2005/637.

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The thesis presents algorithms based on a linear algebraic solution for the identification of the parameters of the FIR system using only higher order statistics when only the output of the system corrupted by additive Gaussian noise is observed. All the traditional parametric methods of estimating the parameters of the system have been based on the 2nd order statistics of the output of the system. These methods suffer from the deficiency that they do not preserve the phase response of the system and hence cannot identify non-minimum phase systems. To circumvent this problem, highe

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18

陶冬玲 and Dong-ling Tao. "Modal parameter identification for non-linear systems using the time-domain fourier filter output method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31236169.

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19

Tao, Dong-ling. "Modal parameter identification for non-linear systems using the time-domain fourier filter output method /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19013310.

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20

Marshall, Dustin John. "An Alternative System Identification Method for Friction Stir Processing." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4061.

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Temperature control has been implemented in friction stir processing and has demonstrated the ability to give improved process control. In order to have optimal control of the process, the parameters of the system to be controlled must be accurately identified. The system parameters change with tool geometry and materials, workpiece materials, and temperature. This thesis presents the use of the relay feedback test to determine the system parameters. The relay feedback test is easy to use and promotes system stability during its use. The results from the relay feedback test can be used to dete

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21

Jauhiainen, Alexandra. "Evaluation and Development of Methods for Identification of Biochemical Networks." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2811.

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<p>Systems biology is an area concerned with understanding biology on a systems level, where structure and dynamics of the system is in focus. Knowledge about structure and dynamics of biological systems is fundamental information about cells and interactions within cells and also play an increasingly important role in medical applications. </p><p>System identification deals with the problem of constructing a model of a system from data and an extensive theory of particularly identification of linear systems exists. </p><p>This is a master thesis in systems biology treating identification of b

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22

Nadsady, Kenneth Allan. "A two-stage method for system identification from time series." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176406389.

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23

Hui, Ka Keung. "A method of episode identification and association in human-computer interaction with applications to personalized interface agents." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/299.

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24

Jarny, Yvon. "Identification de modeles non-lineaires de systemes thermiques." Nantes, 1987. http://www.theses.fr/1987NANT2048.

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Utilisation d'une methode de modelisation due a g. Chavent, consistant a minimiser un critere de moindres carres de sortie. Etude de 3 modeles comportant des parametres variables en fonction de l'etat du systeme ou du temps. Le probleme d'identification est formule comme un probleme d'optimatisation et resolu numeriquement par un algorithme de descente

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25

Dai, Liang. "Identification using Convexification and Recursion." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280422.

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System identification studies how to construct mathematical models for dynamical systems from the input and output data, which finds applications in many scenarios, such as predicting future output of the system or building model based controllers for regulating the output the system. Among many other methods, convex optimization is becoming an increasingly useful tool for solving system identification problems. The reason is that many identification problems can be formulated as, or transformed into convex optimization problems. This transformation is commonly referred to as the convexificati

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26

Dolinsky, Jens-Uwe. "The development of a genetic programming method for kinematic robot calibration." Thesis, Liverpool John Moores University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364488.

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27

Dahlen, Anders. "Identification of stochastic systems : Subspace methods and covariance extension." Doctoral thesis, KTH, Mathematics, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3178.

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28

Dahlén, Anders. "Identification of stochastic systems : subspace methods and covariance extension /." Stockholm : Tekniska högsk, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3178.

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29

Westwick, David Thomas. "Methods for the identification of multiple-input nonlinear systems." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39896.

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In this thesis, we developed techniques which are capable of identifying single and multiple-input, linear and nonlinear systems. They were derived within an analytical framework which imposes few restrictions on the nature of the input signals, and includes the possibility of measurement noise. Extensive simulations demonstrated that these methods are robust in the presence of measurement noise, and that they can be used with highly coloured test inputs. A series of experiments were performed on a known, physical, nonlinear system to validate the simulation results. Finally, an investigation

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30

Assalone, Andrea. "Kernel - based continous - time systems identification: methods and tools." Doctoral thesis, Università degli studi di Trieste, 2014. http://hdl.handle.net/10077/9990.

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2012/2013<br>Questa tesi ha lo scopo di formalizzare un nuovo filone teorico, che deriva dall’algebra degli operatori lineari integrali di Fredholm-Volterra agenti su spazi di Hilbert, per la sintesi di stimatori dello stato e parametrici per sistemi dinamici a tempo continuo sfruttando le misure ingressi/uscite, soggetti a perturbazione tempo-varianti. In maniera da ottenere stime non-asintotiche di sistemi dinamici a tempo continuo, i metodi classici tipicamente aumentano la dimensione del vettore delle variabili di decisione con le condizioni iniziali incognite di stati non misurati. Tutta

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31

Fujimoto, Yusuke. "Studies on Kernel-Based System Identification." Kyoto University, 2018. http://hdl.handle.net/2433/232415.

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32

Yang, Yang. "Two-dimensional dynamic analysis of functionally graded structures by using meshfree boundary-domain integral equation method." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335354.

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33

Bisht, Saurabh. "Methods for Structural Health Monitoring and Damage Detection of Civil and Mechanical Systems." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33672.

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In the field of structural engineering it is of vital importance that the condition of an ageing structure is monitored to detect damages that could possibly lead to failure of the structure. Over the past few years various methods for monitoring the condition of structures have been proposed. With respect to civil and mechanical structures several methods make use of modal parameters such as, natural frequency, damping ratio and mode shapes. In the present work four methods for modal parameter estimation and two methods for have been evaluated for their application to multi degree of freedom

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34

Josefsson, Andreas. "Identification and Simulation Methods for Nonlinear Mechanical Systems Subjected to Stochastic Excitation." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00507.

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With an ongoing desire to improve product performance, in combination with the continuously growing complexity of engineering structures, there is a need for well-tested and reliable engineering tools that can aid the decision making and facilitate an efficient and effective product development. The technical assessment of the dynamic characteristics of mechanical systems often relies on linear analysis techniques which are well developed and generally accepted. However, sometimes the errors due to linearization are too large to be acceptable, making it necessary to take nonlinear effects into

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35

Gray, James. "Modeling and online parameter identification methods for Electrohydraulic Valvetrain Systems." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p1470295.

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Thesis (M.S.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed December 2, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 62-64).

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36

Zimek, Tomáš. "Software pro identifikaci dynamických systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-399369.

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The thesis deals with methods of identification of dynamic systems in time and frequency domain. Nonparametric and parametric methods of identification are analyzed. Selected methods are implemented in Matlab & Simulink sotware. Finally, the user guide for the created Python application is introduced.

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37

Liu, Yi. "Grey-box Identification of Distributed Parameter Systems." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220.

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38

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

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39

Swart, Conrad Dirk. "Developing a GIS based method for school site identification in the rural Eastern Cape." Thesis, Rhodes University, 2015. http://hdl.handle.net/10962/d1018939.

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Historically, South Africa has not had equal education in terms of funding, curriculum or physical resources and structures. These issues are still present in contemporary South Africa and none more so than the issues surrounding “mud schools”. Recently the Department of Basic Education (DBE) implemented a plan to eradicate inappropriate school structures using the Accelerated Schools Infrastructure Delivery Initiative program (ASIDI). Questions around effective placement of schools are now being asked. Using interviews and analysis of literature, this research developed criteria needed to det

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40

Gormley, Padhhraig J. "An investigation of advanced data-driven identification methods for systems biology." Thesis, Queen's University Belfast, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534735.

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Cure, Vellojin Laila Nadime. "Analytical Methods to Support Risk Identification and Analysis in Healthcare Systems." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3054.

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Healthcare systems require continuous monitoring of risk to prevent adverse events. Risk analysis is a time consuming activity that depends on the background of analysts and available data. Patient safety data is often incomplete and biased. This research proposes systematic approaches to monitor risk in healthcare using available patient safety data. The methodologies combine traditional healthcare risk analysis methods with safety theory concepts, in an innovative manner, to allocate available evidence to potential risk sources throughout the system. We propose the use of data mining to anal

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42

Tugsal, Umut. "FAULT DIAGNOSIS OF ELECTRONIC FUEL CONTROL (EFC) VALVES VIA DYNAMIC PERFORMANCE TEST METHOD." ProQuest, 2009. http://hdl.handle.net/1805/2094.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Electronic Fuel Control (EFC) valve regulates fuel flow to the injector fuel supply line in the Cummins Pressure Time (PT) fuel system. The EFC system controls the fuel flow by means of a variable orifice that is electrically actuated. The supplier of the EFC valves inspects all parts before they are sent out. Their inspection test results provide a characteristic curve which shows the relationship between pressure and current provided to the EFC valve. This curve documents the steady state characteristics of the valve but does not a

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43

Tomczak, Jakub. "Algorithms for knowledge discovery using relation identification methods." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2563.

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In this work a coherent survey of problems connected with relational knowledge representation and methods for achieving relational knowledge representation were presented. Proposed approach was shown on three applications: economic case, biomedical case and benchmark dataset. All crucial definitions were formulated and three main methods for relation identification problem were shown. Moreover, for specific relational models and observations’ types different identification methods were presented.<br>Double Diploma Programme, polish supervisor: prof. Jerzy Świątek, Wrocław University of Technol

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Simmons, Benjamin Mason. "System Identification of a Nonlinear Flight Dynamics Model for a Small, Fixed-Wing UAV." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/95324.

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This thesis describes the development of a nonlinear flight dynamics model for a small, fixed-wing unmanned aerial vehicle (UAV). Models developed for UAVs can be used for many applications including risk analysis, controls system design and flight simulators. Several challenges exist for system identification of small, low-cost aircraft including an increased sensitivity to atmospheric disturbances and decreased data quality from a cost-appropriate instrumentation system. These challenges result in difficulties in development of the model structure and parameter estimation. The small size may

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Niederberger, Theresa. "Markov chain Monte Carlo methods for parameter identification in systems biology models." Diss., Ludwig-Maximilians-Universität München, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-157798.

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Arustei, Adrian. "Development of a System Identification Tool for Subscale Flight Testing." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157292.

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Aircraft system identification has been widely used to this day in applications like control law design, building simulators or extending flight envelopes. It can also be utilized for determining flight-mechanical characteristics in the preliminary design phase of a flight vehicle. In this thesis, three common time-domain methods were implemented in MATLAB for determining the aerodynamic derivatives of a subscale aircraft. For parameter estimation, the equation-error method is quick, robust and can provide good parameter estimates on its own. The output-error method is computationally intensiv

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Sabbagh, Yvonne. "Maximum Likelihood Estimation of Hammerstein Models." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061.

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<p>In this Master's thesis, Maximum Likelihood-based parametric identification methods for discrete-time SISO Hammerstein models from perturbed observations on both input and output, are investigated. </p><p>Hammerstein models, consisting of a static nonlinear block followed by a dynamic linear one, are widely applied to modeling nonlinear dynamic systems, i.e., dynamic systems having nonlinearity at its input. </p><p>Two identification methods are proposed. The first one assumes a Hammerstein model where the input signal is noise-free and the output signal is perturbed with colored noise. The

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48

Wang, Jielong. "Efficient and Robust Approaches to the Stability Analysis and Optimal Control of Large-Scale Multibody Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16170.

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Linearized stability analysis methodologies, system identification algorithms and optimal control approaches that are applicable to large scale, flexible multibody dynamic systems are presented in this thesis. For stability analysis, two classes of closely related algorithms based on a partial Floquet approach and on an autoregressive approach, respectively, are presented in a common framework that underlines their similarity and their relationship to other methods. The robustness of the proposed approach is improved by using optimized signals that are derived from the proper orthogonal modes

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Joodi, Benjamin Michael. "Comparative Assessment of Frequency Dependent Joint Properties Using Direct and Inverse Identification Methods." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417024616.

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Jafaridinani, Kian. "Parameter estimation methods based on binary observations - Application to Micro-Electromechanical Systems (MEMS)." Phd thesis, Supélec, 2012. http://tel.archives-ouvertes.fr/tel-00756675.

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While the characteristic dimensions of electronic systems scale down to micro- or nano-world, their performance is greatly influenced. Micro-fabrication process or variations of the operating situation such as temperature, humidity or pressure are usual cause of dispersion. Therefore, it seems essential to co-integrate self-testing or self-adjustment routines for these microdevices. For this feature, most existing system parameter estimation methods are based on the implementation of high-resolution digital measurements of the system's output. Thus, long design time and large silicon areas are

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