Isbn: 9781461264545 - adaptive markov control processes: 79 (11 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2012

      1461264545 / 9781461264545

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      Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    • Lingua: Inglese

      Editore: Springer 1989-05-01, 1989

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      Paperback. Condizione: New.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Condizione: New. pp. 170.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      Paperback. Condizione: Brand New. reprint edition. 162 pages. 9.00x6.00x0.75 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, Copernicus, 2012

      1461264545 / 9781461264545

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

    • Lingua: Inglese

      Editore: Springer, 2012

      1461264545 / 9781461264545

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    • Lingua: Inglese

      Editore: Springer New York Okt 2012, 2012

      1461264545 / 9781461264545

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2012

      1461264545 / 9781461264545

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      Condizione: New. Print on Demand pp. 170 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

    • Lingua: Inglese

      Editore: Springer, 2012

      1461264545 / 9781461264545

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      Condizione: New. PRINT ON DEMAND pp. 170.

    • Lingua: Inglese

      Editore: Springer New York, 2012

      1461264545 / 9781461264545

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 contribut.

    • Lingua: Inglese

      Editore: Springer, Copernicus Okt 2012, 2012

      1461264545 / 9781461264545

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch.