Description
Book SynopsisThe 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 prepa
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
