Adaptive Control Processes

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Release : 2015-12-08
Genre : Mathematics
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Book Rating : 661/5 ( reviews)

Adaptive Control Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control Processes write by Richard E. Bellman. This book was released on 2015-12-08. Adaptive Control Processes available in PDF, EPUB and Kindle. 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.

Adaptive Control Processes

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Release : 1972
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Book Rating : /5 ( reviews)

Adaptive Control Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control Processes write by Richard Bellman. This book was released on 1972. Adaptive Control Processes available in PDF, EPUB and Kindle.

Adaptive Control Processes

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Release : 1966
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Book Rating : /5 ( reviews)

Adaptive Control Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control Processes write by . This book was released on 1966. Adaptive Control Processes available in PDF, EPUB and Kindle.

On Adaptive Control Processes

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Release : 1959
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On Adaptive Control Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook On Adaptive Control Processes write by Richard Bellman. This book was released on 1959. On Adaptive Control Processes available in PDF, EPUB and Kindle.

Adaptive Markov Control Processes

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 142/5 ( reviews)

Adaptive Markov Control Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Markov Control Processes write by Onesimo Hernandez-Lerma. This book was released on 2012-12-06. Adaptive Markov Control Processes available in PDF, EPUB and Kindle. This book is concerned with a class of discrete-time stochastic control processes known as controlled Markov processes (CMP's), also known as Markov decision processes or Markov dynamic programs. Starting in the mid-1950swith Richard Bellman, many contributions to CMP's have been made, and applications to engineering, statistics and operations research, among other areas, have also been developed. The purpose of this book is to present some recent developments on the theory of adaptive CMP's, i. e. , CMP's that depend on unknown parameters. Thus at each decision time, the controller or decision-maker must estimate the true parameter values, and then adapt the control actions to the estimated values. We do not intend to describe all aspects of stochastic adaptive control; rather, the selection of material reflects our own research interests. The prerequisite for this book is a knowledgeof real analysis and prob ability theory at the level of, say, Ash (1972) or Royden (1968), but no previous knowledge of control or decision processes is required. The pre sentation, on the other hand, is meant to beself-contained,in the sensethat whenever a result from analysisor probability is used, it is usually stated in full and references are supplied for further discussion, if necessary. Several appendices are provided for this purpose. The material is divided into six chapters. Chapter 1 contains the basic definitions about the stochastic control problems we are interested in; a brief description of some applications is also provided.