Optimal Control

ISBN-10: 0470633492
ISBN-13: 9780470633496
Edition: 3rd 2012
List price: $105.00 Buy it from $86.79
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Description: This new, updated edition of Optimal Control reflects major changes that have occurred in the field in recent years and presents, in a clear and direct way, the fundamentals of optimal control theory. It covers the major topics involving  More...

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Book details

List price: $105.00
Edition: 3rd
Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 2/20/2012
Binding: Hardcover
Pages: 552
Size: 6.50" wide x 9.75" long x 1.50" tall
Weight: 1.892
Language: English

This new, updated edition of Optimal Control reflects major changes that have occurred in the field in recent years and presents, in a clear and direct way, the fundamentals of optimal control theory. It covers the major topics involving measurement, principles of optimality, dynamic programming, variational methods, Kalman filtering, and other solution techniques. To give the reader a sense of the problems that can arise in a hands-on project, the authors have updated material on optimal output feedback control, a technique used in the aerospace industry. Also included is a new chapter on Reinforcement Learning for adaptive optimal control. Relations to classical control theory are emphasized throughout the text, and a root-locus approach to steady-state controller design is included. A chapter on optimal control of polynomial systems is designed to give the reader sufficient background for further study in the field of adaptive control.

Dr. Chee Khiang Pang is an Assistant Professor in the Department of Electrical and Computer Engineering at National University of Singapore.Frank L. Lewis is a Professional Engineer and Head of Advanced Controls and Sensors Group at the Automation and Robotics Research Institute, The University of Texas at Arlington.Tong Heng Lee is Professor and cluster Head for the Department of Electrical and Computer Engineering at National University of Singapore.Zhao Yang Dong is Associate Professor for the Department of Electrical Engineering at The Hong Kong Polytechnic University.

Preface
Static Optimization
Optimization without Constraints
Optimization with Equality Constraints
Numerical Solution Methods
Problems
Optimal Control of Discrete-Time Systems
Solution of the General Discrete-Time Optimization Problem
Discrete-Time Linear Quadratic Regulator
Digital Control of Continuous-Time Systems
Steady-State Closed-Loop Control and Suboptimal Feedback
Frequency-Domain Results
Problems
Optimal Control of Continuous-Time Systems
The Calculus of Variations
Solution of the General Continuous-Time Optimization Problem
Continuous-Time Linear Quadratic Regulator
Steady-State Closed-Loop Control and Suboptimal Feedback
Frequency-Domain Results
Problems
The Tracking Problem and Other LQR Extensions
The Tracking Problem
Regulator with Function of Final State Fixed
Second-Order Variations in the Performance Index
The Discrete-Time Tracking Problem
Discrete Regulator with Function of Final State Fixed
Discrete Second-Order Variations in the Performance Index
Problems
Final-Time-Free and Constrained Input Control
Final-Time-Free Problems
Constrained Input Problems
Problems
Dynamic Programming
Bellman's Principle of Optimality
Discrete-Time Systems
Continuous-Time Systems
Problems
Optimal Control for Polynomial Systems
Discrete Linear Quadratic Regulator
Digital Control of Continuous-Time Systems
Problems
Output Feedback and Structured Control
Linear Quadratic Regulator with Output Feedback
Tracking a Reference Input
Tracking by Regulator Redesign
Command-Generator Tracker
Explicit Model-Following Design
Output Feedback in Game Theory and Decentralized Control
Problems
Robustness and Multivariable Frequency-Domain Techniques
Introduction
Multivariable Frequency-Domain Analysis
Robust Output-Feedback Design
Observers and the Kalman Filter
LQG/Loop-Transfer Recovery
H∞ DESIGN
Problems
Differential Games
Optimal Control Derived Using Pontryagin's Minimum Principle and the Bellman Equation
Two-player Zero-sum Games
Application of Zero-sum Games to H∞ Control
Multiplayer Non-zero-sum Games
Reinforcement Learning and Optimal Adaptive Control
Reinforcement Learning
Markov Decision Processes
Policy Evaluation and Policy Improvement
Temporal Difference Learning and Optimal Adaptive Control
Optimal Adaptive Control for Discrete-time Systems
Integral Reinforcement Learning for Optimal Adaptive Control of Continuous-time Systems
Synchronous Optimal Adaptive Control for Continuous-time Systems
Review of Matrix Algebra
Basic Definitions and Facts
Partitioned Matrices
Quadratic Forms and Definiteness
Matrix Calculus
The Generalized Eigenvalue Problem
References
Index

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