[PDF] A Model Reference Adaptive Control Scheme For Linear Delay Systems eBook

Author : Yang Zhu
Publisher : Princeton University Press
Page : 354 pages
File Size : 15,12 MB
Release : 2020-04-28
Category : Mathematics
ISBN : 0691202540

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Basic predictor feedback for single-input systems -- Basic idea of adaptive control for single-input systems -- Single-input systems with full relative degree -- Single-input systems with arbitrary relative degree -- Exact predictor feedback for multi-input systems -- Full-state feedback of uncertain multi-input systems -- Output feedback of uncertain multi-input systems -- Output feedback of systems with uncertain delays, parameters and ODE state -- Predictor feedback for uncertainty-free systems -- Predictor feedback of uncertain single-input systems -- Predictor feedback of uncertain multi-input systems.

Author : Nhan T. Nguyen
Publisher : Springer
Page : 453 pages
File Size : 23,64 MB
Release : 2018-03-01
Category : Technology & Engineering
ISBN : 3319563939

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This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.

Author : Daniel Liberzon
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 38,56 MB
Release : 2012-12-06
Category : Science
ISBN : 1461200172

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The theory of switched systems is related to the study of hybrid systems, which has gained attention from control theorists, computer scientists, and practicing engineers. This book examines switched systems from a control-theoretic perspective, focusing on stability analysis and control synthesis of systems that combine continuous dynamics with switching events. It includes a vast bibliography and a section of technical and historical notes.

Author : Hans Butler
Publisher :
Page : 296 pages
File Size : 16,21 MB
Release : 1992
Category : Technology & Engineering
ISBN :

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This work, aiming to bring adaptive control theory closer to practice, offers explanations rather than theory, and draws upon several laboratory experiments for emphasis. The first part of the book covers established subjects and the second covers solutions to some problems.

Author : Hugh Francis Spence
Publisher :
Page : 208 pages
File Size : 36,28 MB
Release : 1971
Category : Adaptive control systems
ISBN :

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"The effects of input delay on an identification scheme using a learning model are investigated. The parameter adjustment laws for the learning model are derived through Lyapunov methods similar to those used for the model reference adaptive control systems of Parks. For no measurement noise or delay mismatch between the learning model and system, the parameters are adjusted to bring the error between model and plant to zero. When there is delay mismatch between the inputs of the learning model and the unknown system, the convergence of the parameters of the learning model to those of the unknown system is no longer guaranteed. However, the error between the learning model and the unknown system is guaranteed to enter and stay within a region close to the origin. Several methods of reducing the region are investigated. These methods involve deriving additional adaptive laws for controlling an adjustable delay in the learning model. Asymptotic stability is assured when the initial parameter misalignment vector lies in some region close to the origin. The identification schemes are demonstrated with examples"--Abstract, pages x-xi.

Author : Miroslav Krstic
Publisher : Springer Science & Business Media
Page : 458 pages
File Size : 44,78 MB
Release : 2010-01-23
Category : Mathematics
ISBN : 0817648771

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Shedding light on new opportunities in predictor feedback, this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. It is a collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems, systems modeled by PDEs, systems with highly uncertain or completely unknown input/output delays, and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs, rather than by pure delay. Replete with examples, Delay Compensation for Nonlinear, Adaptive, and PDE Systems is an excellent reference guide for graduate students, researchers, and professionals in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering. Parts of the book may be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems.