Optimal Experiment Design For Dynamic System Identification
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Dynamic System Identification Experiment Design And Data Analysis
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Author : Goodwin
language : en
Publisher: Academic Press
Release Date : 1977-11-10
Dynamic System Identification Experiment Design And Data Analysis written by Goodwin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977-11-10 with Computers categories.
Dynamic System Identification: Experiment Design and Data Analysis
Optimal Experiment Design For Dynamic System Identification
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Author : M.B. Zarrop
language : en
Publisher: Springer
Release Date : 1979-12
Optimal Experiment Design For Dynamic System Identification written by M.B. Zarrop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979-12 with Technology & Engineering categories.
This work is concerned with the problem of experiment design for the efficient identification of a linear single input, single output dynamic system from input-output data in the presence of disturbances. The experimenter is allowed to select certain factors under his control (input signal, output filter, sampling times), subject to suitable constraints, in order to maximise information from an experiment. A frequency domain approach to the test signal/sampling rate design problem is adopted and the cost criterion is chosen to be a suitable convex scalar function of the inverse Fisher information matrix. A geometrical approach to the design problem is developed for both continuous-time and discrete-time systems, based on the theory of Tchebycheff systems and their associated moment spaces. Conditions are derived for the existence of certain minimal representations of the optimal input spectrum, leading to a reduction in the dimension of the design optimization problem. In particular, for a restricted class of model structures, the optimal input spectrum contains the minimum number of frequencies consistent with a persistently exciting signal. A class of sequential design algorithms is proposed with proven global convergence to a D-optimal design. Comparison is made of the computational efficiency of a number of these algorithms.
Optimal Experiment Design For Dynamic System Identification
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Author : M B Zarrop
language : en
Publisher: Springer
Release Date : 2014-01-15
Optimal Experiment Design For Dynamic System Identification written by M B Zarrop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Concise Encyclopedia Of Modelling And Simulation
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Author : D.P. Atherton
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Concise Encyclopedia Of Modelling And Simulation written by D.P. Atherton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Science categories.
The Concise Encyclopedia of Modelling & Simulation contains 172 alphabetically arranged articles describing the modelling and simulation of physical systems. The emphasis is on mathematical models and their various forms, although other types of models, such as knowledge-based, linguistics-based, graphical and data-based, are also discussed. The articles are revised from the Systems & Control Encyclopedia, and many newly commissioned articles are included describing recent developments in the field. Articles on identification cover all aspects of this problem, from the use and choice of specific test signals to problems of model order and the many algorithms and approaches to parameter estimation. Computational techniques, such as the finite-element method, that play an important role in analyzing nonlinear models are covered. Articles outline the development of simulation, consider currently available simulation languages, describe applications and cover current developments in the area. Where appropriate, illustrations and tables are included to clarify particular topics. This encyclopedia will be a valuable reference source for all practising engineers, researchers and postgraduate students in the field of modelling and simulation.
Control Identification And Input Optimization
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Author : Robert Kalaba
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Control Identification And Input Optimization written by Robert Kalaba and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in vestigators. The authors' interest in optimal inputs first developed when F. E. Yates, an eminent physiologist, expressed the need for optimal or preferred inputs to estimate physiological parameters. The text assumes no previous knowledge of optimal control theory, numerical methods for solving two-point boundary-value problems, or system identification. As such it should be of interest to students as well as researchers in control engineering, computer science, biomedical en gineering, operations research, and economics. In addition the sections on beam theory should be of special interest to mechanical and civil en gineers and the sections on eigenvalues should be of interest to numerical analysts. The authors have tried to present a balanced viewpoint; however, primary emphasis is on those methods in which they have had first-hand experience. Their work has been influenced by many authors. Special acknowledgment should go to those listed above as well as R. Bellman, A. Miele, G. A. Bekey, and A. P. Sage. The book can be used for a two-semester course in control theory, system identification, and optimal inputs.
System Identification Sysid 03
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Author : Paul Van Den Hof
language : en
Publisher: Elsevier
Release Date : 2004-06-29
System Identification Sysid 03 written by Paul Van Den Hof and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-29 with Science categories.
The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.
System Identification
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Author : Karel J. Keesman
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-16
System Identification written by Karel J. Keesman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-16 with Technology & Engineering categories.
System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: • data-based identification – non-parametric methods for use when prior system knowledge is very limited; • time-invariant identification for systems with constant parameters; • time-varying systems identification, primarily with recursive estimation techniques; and • model validation methods. A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text. The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for frequency- and time-domain identification in static, dynamic, linear, nonlinear, time-invariant and time-varying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. End-of-chapter exercises (for which a downloadable instructors’ Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for self-tuition by practitioners looking to brush up on modern techniques. Graduate and final-year undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching control-related to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.
New Developments And Applications In Experimental Design
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Author : Nancy Flournoy
language : en
Publisher: IMS
Release Date : 1998
New Developments And Applications In Experimental Design written by Nancy Flournoy and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Optimal Measurement Methods For Distributed Parameter System Identification
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Author : Dariusz Ucinski
language : en
Publisher: CRC Press
Release Date : 2004-08-27
Optimal Measurement Methods For Distributed Parameter System Identification written by Dariusz Ucinski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-27 with Mathematics categories.
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.
Optimal Experiment Design For Dynamic System Identification
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Author : Robert Luxmore Payne
language : en
Publisher:
Release Date : 1974
Optimal Experiment Design For Dynamic System Identification written by Robert Luxmore Payne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with categories.