Bellman | Adaptive Control Processes | E-Book | sack.de
E-Book

E-Book, Englisch, 276 Seiten

Reihe: Princeton Legacy Library

Bellman Adaptive Control Processes

A Guided Tour
Erscheinungsjahr 2016
ISBN: 978-1-4008-7466-8
Verlag: De Gruyter
Format: PDF
 Kopierschutz: 1 - PDF Watermark

A Guided Tour

E-Book, Englisch, 276 Seiten

Reihe: Princeton Legacy Library

ISBN: 978-1-4008-7466-8
Verlag: De Gruyter
Format: PDF
 Kopierschutz: 1 - PDF Watermark

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.

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Autoren/Hrsg.

Bellman, Richard E.

Fachgebiete

Weitere Infos & Material

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

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