Adaptive Control Processes: A Guided Tour

by Richard E. Bellman

Overview

The aim of this work is to present a unified approach to the modern field of control theory and to provide a technique for making problems involving deterministic, stochastic, and adaptive processes of both linear and nonlinear type amenable to machine solution. Mr. Bellman has used the theory of dynamic programming to formulate, analyze, and prepare these processes for numerical treatment by digital computers. The unique concept of the book is that of a single problem stretching from recognition and formulation to analytic treatment and computational solution. Due to the emphasis upon ideas and concepts, this book is equally suited for the pure and applied mathematician, and for control engineers in all fields.

Originally published in 1961.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Product Details

ISBN-13:	9780691652214
Publisher:	Princeton University Press
Publication date:	04/19/2016
Series:	Princeton Legacy Library , #2045
Pages:	276
Product dimensions:	6.20(w) x 9.30(h) x 1.10(d)

Table of Contents

• Frontmatter, pg. i
• PREFACE, pg. vii
• CONTENTS, pg. ix
• INTRODUCTION, pg. 1
• CHAPTER I. FEEDBACK CONTROL AND THE CALCULUS OF VARIATIONS, pg. 13
• CHAPTER II. DYNAMICAL SYSTEMS AND TRANSFORMATIONS, pg. 41
• CHAPTER III. MULTISTAGE DECISION PROCESSES AND DYNAMIC PROGRAMMING, pg. 51
• CHAPTER IV. DYNAMIC PROGRAMMING AND THE CALCULUS OF VARIATIONS, pg. 61
• CHAPTER V. COMPUTATIONAL ASPECTS OF DYNAMIC PROGRAMMING, pg. 85
• CHAPTER VI. THE LAGRANGE MULTIPLIER, pg. 100
• CHAPTER VII. TWO-POINT BOUNDARY VALUE PROBLEMS, pg. 111
• CHAPTER VIII. SEQUENTIAL MACHINES AND THE SYNTHESIS OF LOGICAL SYSTEMS, pg. 119
• CHAPTER IX. UNCERTAINTY AND RANDOM PROCESSES, pg. 129
• CHAPTER X. STOCHASTIC CONTROL PROCESSES, pg. 152
• CHAPTER XI. MARKOVIAN DECISION PROCESSES, pg. 160
• CHAPTER XII. QUASILINEARIZATION, pg. 167
• CHAPTER XIII. STOCHASTIC LEARNING MODELS, pg. 176
• CHAPTER XIV. THE THEORY OF GAMES AND PURSUIT PROCESSES, pg. 180
• CHAPTER XV. ADAPTIVE PROCESSES, pg. 194
• CHAPTER XVI. ADAPTIVE CONTROL PROCESSES, pg. 203
• CHAPTER XVII. SOME ASPECTS OF COMMUNICATION THEORY, pg. 219
• CHAPTER XVIII. SUCCESSIVE APPROXIMATIONS, pg. 232
• INDEX, pg. 251
• Backmatter, pg. 257