Overview

Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved. An optimal control is a set of differential equations describing the paths of the control variables that minimize the cost functional. This book, Continuous Time Dynamical Systems: State Estimation and Optimal Control with Orthogonal Functions, considers different classes of systems with quadratic performance criteria. It then attempts to find the optimal control law for each class of systems using orthogonal functions that can optimize the given performance criteria. Illustrated throughout with detailed examples, the book covers topics including: * Block-pulse functions and shifted Legendre polynomials * State estimation of linear time-invariant systems * Linear optimal control systems incorporating observers * Optimal control of systems described by integro-differential equations * Linear-quadratic-Gaussian control * Optimal control of singular systems * Optimal control of time-delay systems with and without reverse time terms * Optimal control of second-order nonlinear systems * Hierarchical control of linear time-invariant and time-varying systems

Full Product Details

Author:   B. M. Mohan ,  S. K. Kar
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
ISBN:  

9781466517301

ISBN 10:   1466517301
Pages:   247
Publication Date:   16 October 2012
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Introduction Optimal Control Problem Historical Perspective Organization of the Book Orthogonal Functions and Their Properties Introduction Block-Pulse Functions (BPFs) Legendre Polynomials (LPs) Shifted Legendre Polynomials (SLPs) Nonlinear Operational Matrix Rationale for Choosing BPFs and SLPs State Estimation Introduction Inherent Filtering Property of OFs State Estimation Illustrative Examples Conclusion Linear Optimal Control Systems Incorporating Observers Introduction Analysis of Linear Optimal Control Systems Incorporating Observers Illustrative Example Conclusion Optimal Control of Systems Described by Integro-Differential Equations Introduction Optimal Control of LTI Systems Described by Integro-Differential Equations Illustrative Example Conclusion Linear-Quadratic-Gaussian Control Introduction LQG Control Problem Unified Approach Illustrative Example Recursive Algorithms Conclusion Optimal Control of Singular Systems Introduction Recursive Algorithms Unified Approach Illustrative Examples Conclusion Optimal Control of Time-Delay Systems Introduction Optimal Control of Multi-Delay Systems Optimal Control of Delay Systems with Reverse Time Terms Conclusion Optimal Control of Nonlinear Systems Introduction Computation of the Optimal Control Law Illustrative Examples Conclusion Hierarchical Control of Linear Systems Introduction Hierarchical Control of LTI Systems with Quadratic Cost Functions Solution of Hierarchical Control Problem via BPFs Extension to Linear Time-Varying Systems Computational Algorithm Illustrative Examples Conclusion

Reviews

... provides a good introduction of using orthogonal function approaches for state estimation and optimal control problems. ... the first book I've seem that puts it all together in one text. ... The authors provide several detailed examples that clearly explain how the shown theory can be applied. This makes it much easier to understand the basic algorithms. -John L. Crassidis, University at Buffalo, State University of New York The approach and selection of topics are very appropriate, because the book has considered all the important components of optimal control problems using orthogonal functions. ... Overall, the book is quite good and comprehensive. -Anish Deb, University of Caluctta, India A majority of the presentation relies on existing results; the authors main contribution is contained in Chapters 7-10. This book may be useful to postgraduate and doctoral students interested in system and control theory as well as inspiring to control engineers. -Zentralblatt Math,Vol. 1272

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