System Identification by Karel J Keesman
Following an introduction on system theory, this book shows the reader how to approach the system identification problem in a systematic fashion. It aims to teach students the fundamentals of systems identification without unduly complicated mathematics.-
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Robust Control Design with MATLAB (R)
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Control Engineering
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Lectures in Feedback Design for Multivariable Systems
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Foundations of Robotics
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Digital Self-tuning Controllers
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Statistical Signal Processing
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Discrete-time Stochastic Systems
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Principles of Adaptive Filters and Self-learning Systems
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Soft Computing
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Control of Dead-time Processes
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Model-Reference Adaptive Control
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems
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Fault Detection and Diagnosis in Industrial Systems
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Hybrid Dynamical Systems
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Genetic Algorithms
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Discrete-time Signal Processing
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Analysis and Control of Nonlinear Process Systems
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Control of Robot Manipulators in Joint Space
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Introduction to Optimal Estimation
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Automatic Control with Experiments
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Model Predictive Control
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Neural Networks for Modelling and Control of Dynamic Systems
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Control Engineering: MATLAB Exercises
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Stabilization and Regulation of Nonlinear Systems
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Receding Horizon Control
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Control Systems with Input and Output Constraints
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Modeling and Control of Discrete-event Dynamic Systems
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Multivariable Control Systems
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Power Electronic Converters Modeling and Control
From the reviews:
“The book presents a systematic overview of the fundamental problems and methods in the modern system identification theoryThe material is divided into four parts covering data based non-parametric identification methods, time-invariant system identification, time-varying system identification and model validation problems. … Each chapter of the book is finished with references, historical notes and exercises to be solved by the reader. … Numerous examples … demonstrate the practical applicability of the presented methods. The book can be recommended for students and practitioners for self-study.” (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1230, 2012)
Karel Keesman received his Ph.D. for his work on set-membership identification and prediction of ill-defined systems, with application to a water quality system at the University of Twente in 1989. His main research interests focus on identification, modelling and control of uncertain dynamic systems with a biological component, as bioreactors, environmental and ecological systems, with more than 120 papers in international journals and refereed proceedings. For more than 25 years he is active in the field of system identification, in which he developed and applied identification methods to a wide range of problems.
| SKU | Unavailable |
| ISBN 13 | 9780857295217 |
| ISBN 10 | 0857295217 |
| Title | System Identification |
| Author | Karel J Keesman |
| Series | Advanced Textbooks In Control And Signal Processing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2011-05-18 |
| Number of pages | 323 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |