5 edition of Adaptive Estimation and Control found in the catalog.
by Prentice Hall
Written in English
|The Physical Object|
|Number of Pages||500|
Stochastic systems: estimation, identification, and adaptive control | P R Kumar; P P Varaiya | download | B–OK. Download books for free. Find books. Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control.
Summary: Unifies the partitioned adaptive estimators for stochastic systems and applies them to other estimation and control problems. The techniques, not restricted to lumped-parameter systems with unknown constant parameters, serve as a starting point for more complicated problems. ISBN: OCLC Number: Notes: Includes index. Description: xxiii, pages: illustrations ; 24 cm. Contents: Review of Kalman filtering theory; structure and parameter adaptive estimation; asymptotic and convergence properties of partitioned adaptive systems; partitioning filter - probabilistic approach; partitioning estimators - scattering approach.
Here is the full list of best reference books on Adaptive Control Theory: 1. “Robust Adaptive Control” by P. Ioannou and J. Sun. Book Review: The book presents fundamental techniques and algorithms in the field of adaptive control. This book provides. succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and. the conceptual framework necessary to understand current trends in stochastic control.
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In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques. The book is the result of an intensive joint research effort by the authors during the last : Hardcover.
Adaptive control techniques provide a proven methodology for designing stable controllers for systems that may possess a large amount of uncertainty.
At the same time, the benefits of neural networks and fuzzy systems are generating much excitement-- and impressive innovations-- in almost every engineering by: A few adaptive control methods are described including MRAC and L1 Adaptive Control. Chapter 4 describes ways to tune proportional integral derivative (PID) control algorithms.
This is the most commonly used and, therefore, most important control algorithm. Chapter 5 describes several feedforward control techniques. Mixing approximation theory, parameter estimation, and feedback control, this book presents Adaptive Estimation and Control book unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
Adaptive Control: Second Edition and millions of other books are available for Amazon Kindle. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - /5(22).
In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques. The book is the result of an intensive joint research effort by the authors during the last decade.
Book Description In this chapter, we have formulated and discussed the adaptive estimation and control problems for a class of semi-parametric models with both parametric uncertainty and nonparametric uncertainty. A succinct and rigorous treatment of the foundations of stochastic control, ideal for advanced students already acquainted with stochastic processes.
This book presents a unified approach to filtering, estimation, prediction, and stochastic and adaptive control, while also providing the conceptual framework necessary to understand current by: This book contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems describing recent efforts to develop a systematic and elegant theory of identification and adaptive control.
It is meant to provide a fast introduction to some of the. This book proposes such an approach, with a design methodology for adaptive robust nonlinear MPC (NMPC) systems in the presence of disturbances and parametric uncertainties.
One of the key concepts pursued is the concept of set-based adaptive parameter estimation, which provides a mechanism to estimate the unknown parameters as well as an. Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems.
In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Hongbin Ma and Kai-Yew Lum (January 1st ). Adaptive Estimation and Control for Systems with Parametric and Nonparametric Uncertainties, Adaptive Control, Kwanho You, IntechOpen, DOI: / Available from:Cited by: Stable adaptive control and estimation for nonlinear systems: neural and fuzzy approximation techniques | Jeffrey Spooner; et al | download | B–OK.
Download books for free. Find books. of adaptive control for continuous-time plants. The book is the outcome of several years of research, whose main purpose was not to generate new re-sults, but rather unify, simplify, and present in a tutorial manner most of the existing techniques for designing and analyzing adaptive control systems.
The book is written in a self-contained fashion to be used as a textbook. In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques. The book is the result of an intensive joint research effort by the authors during the last : Ebook.
Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.
1 Stable adaptive control and estimation for nonlinear systems: neural and fuzzy approximation techniques. (International Journal of Robust and Nonlinear Control, January ) “ the text is well organised with topics judiciously selected to build on each other the discussion and motivations are rigorous ” (International Journal of Robust & Nonlinear Control, Vol, No.1, 10th January ).
Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems.
The text is a three-part treatment. Then, an adaptive non-linear sliding mode control is designed by using a finite-time parameter adaptive law and non-linear siding mode technique, to achieve output tracking and parameter estimation. Comparative simulations are given to show that the proposed identification and adaptive control are effective with respect to fast convergence.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that.
The book presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques.OPTIMAL CONTROL AND ESTIMATION a book by Robert F.
Stengel. from the back cover: "An excellent introduction to optimal control and estimation theory and its relationship with LQG design. invaluable as a reference for those already familiar with the subject." optimal state estimation, control systems, nonlinear control, adaptive control.B.
Hassibi, A. H. Sayed, and T. Kailath, Indefinite Quadratic Estimation and Control: A Unified Approach to H_2 and Hoo Theories, SIAM, PA, ISBNpp, Read a description of the book Download the preface. Download the table of contents. Download a sample chapter. Order the book directly from SIAM or from