3 edition of Self-tuning and adaptive control found in the catalog.
Self-tuning and adaptive control
by Peter Peregrinus on behalf of the Institution of Electrical Engineers in Stevenage, UK, New York
Written in English
Includes bibliographical references and index.
|Statement||edited by C.J. Harris and S.A. Billings.|
|Series||IEE control engineering series -- v. 15.|
|Contributions||Billings, S. A., Harris, C. J.|
|The Physical Object|
|Pagination||xv, 333 p. :|
|Number of Pages||333|
Adaptive and self-tuning control. The concept of adaptive control is based on the ability to measure the system behaviour at any time and to alter the controller settings automatically to provide an optimum system response. Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that adapts itself to such changing g: Self-tuning.
Introduction to adaptive systems and adaptive control Basic concepts and structure of adaptive systems; P.A. Ioannou & J. Sun, Robust Adaptive Control, Prentice Hall, Upper Saddle River, NJ, The book is available (for free) Self-Tuning Systems: Control and Signal Processing, J. Wiley & Sons, Chichester, England, Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive Author: Karl J. Astrom.
A comprehensive look at state-of-the-art ADP theory and real-world applications. This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic /5(3). Geared to the users' needs, this work provides comprehensive coverage of the main techniques and methods necessary to construct a self-tuning and self-adaptive system. Eliminating a lot of theoretical rigor, it provides the reader with a fundamental understanding of basic algorithms and techniques useful in self-tuning control and signal Price Range: $ - $
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Self-Tuning and Adaptive Control: Theory and Applications Paperback – January 1, by Editors Harris, C.J., Billings, S.A. (Author)Author: Editors Harris, C.J., Billings, S.A. Geared to the users' needs, this work provides comprehensive coverage of the main techniques and methods necessary to construct a self-tuning and self-adaptive system.
Eliminating a lot of theoretical rigor, it provides the reader with a fundamental understanding of basic algorithms and techniques useful in self-tuning control and signal Cited by: The book is an excellent complete course on self-tuning and adaptive control systems based on the plant on-line identification.
It can be very useful for practically oriented control engineers wanted to employ the ideas of self-tuning control on real industrial plants.
Also researches developing new methods for design and simulation of adaptive control systems may find Format: Paperback. Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators.
Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive /5(22). Chapters 3, 4, and 5 give two basic developments of adaptive control: self-tuning regulators (STR) and model-reference adaptive systems (MRAS).
Today we do not make a distinction between these two approaches, since they are actually equivalent. We have tried to follow the historical development by mainly treating MRAS in continuous time and STR Cited by: book Self-tuning and adaptive control: theory and applications Christopher John Harris, S.
A Billings Published in in Stevenage by PeregrinusCited by: Self-tuning adaptive control on the basis of a new and efficient parameter estimation method is presented in this paper.
The approach to parameter estimation is based on the Marchuc variational method and optimal filtering theory. Clarke D.W. () Self-Tuning and Adaptive Control. In: Sinha N.K. (eds) Microprocessor-Based Control Systems. International Series on Microprocesssor-Based Cited by: Adaptive Control and Optimal Control methods.
The book shows how ADP can be used to Volume 35 Implementation of self-tuning controllers K. Warwick (Editor) Optimal adaptive control for discrete-time systems 32File Size: 2MB.
Title: Astrom - Adaptive Author: Emanuele Created Date: 5/4/ PMFile Size: 5MB. Control Applications of Adaptive covers the proceedings of the Workshop on Applications of Adaptive Control, held in Yale University. This book is organized into five parts encompassing 18 chapters that summarize the potential application of adaptive control to Missing: Self-tuning.
The paper reviews the results obtained from applying the self tuning regulator to several different chemical process control problems. This research has revealed that some minor modifications to the original theory lead to better performance and robustness characteristics in the face of nonlinear and time-varying process by: 5.
This is a collection of adaptive control methods from the book "Adaptive Control" by Karl Johan Åström and Björn Wittenmark. They are the masters of the classical methods for self tuning controllers.
The book is made for an industrial audience and PhD students in control theory. Those control methods is most used for hydraulic and electrical. Readers will acquire a well-developed sense of when to use adaptive techniques and when other methods are more appropriate.
Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators.5/5(1). Self-tuning adaptive control on the basis of a new and efficient parameter estimation method is presented in this paper.
The approach to parameter estimation is based on the Marchuc variational method and optimal filtering by: 4. The indirect approach is referred to as self-tuning or self-optimizing adaptive control and is subject of this study.
In the model reference approach, the parameters of a suitably chosen controller structure are adapted directly in such a way that the output follows the output of a prespecified reference : Pieter W.
Otter. Additional Physical Format: Online version: Self-tuning and adaptive control. London ; New York: P. Peregrinus on behalf of the Institution of Electrical Engineers, © Knowledge Based Control/Adaptive Control. An intelligent nonlinear adaptive minimum-variance controller, H-U Flunkert & H Unbehauen.
Predictive and Robust Control. On the design of the unified predictive controller, A R M Soeterboek et al. Adaptive Control/Knowledge Based Control. A self-tuning feedforward compensator, R Devanathan.
line illus. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
The application of adaptive control theory to a GTAW process were demonstrated in [, ]. Two representative adaptive control schemes were used: the model reference adaptive control (MRAC) approach developed by Narendra and Lin  and the self-tuning adaptive control approach with pole placement .
Adaptive control methods developed by Karl Johan Åström and Björn Wittenmark from the 's for industrial use. Sample code for my article Intelligent Steering Using Adaptive PID Controllers in the book AI Game Programming Wisdom 3.
LiaoSteve / Adaptive-controlIndirect-Self-Tuning-Regulator Star 2. A self-tuning controller that can detect the increased gain of the process as the batch is close to being neutralized can throttle back its own tuning accordingly.
For more examples of self-tuning controllers in action, see part 2 of this article in August Abstract. This entry gives an overview of the development of adaptive control, starting with the early efforts in flight and process control.
Two popular schemes, the model reference adaptive controller and the self-tuning regulator, are described with a thumbnail overview of theory and applications.