Further Topics on Discrete-Time Markov Control Processes, Onesimo Hernandez-Lerma; Jean B. Lasserre

Автор: Hernandez-Lerma
Название: Discrete-Time Markov Control Processes
ISBN: 0387945792 ISBN-13(EAN): 9780387945798
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.

Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic
Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
ISBN: 1441906290 ISBN-13(EAN): 9781441906298
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.

Автор: Onesimo Hernandez-Lerma
Название: Adaptive Markov Control Processes
ISBN: 1461264545 ISBN-13(EAN): 9781461264545
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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.

Автор: Onesimo Hernandez-Lerma
Название: Adaptive Markov Control Processes
ISBN: 0387969667 ISBN-13(EAN): 9780387969664
Издательство: Springer
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Цена: 14673.00 р.
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Описание: 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.

Автор: Richard Boucherie; Nico M van Dijk
Название: Markov Decision Processes in Practice
ISBN: 3319477641 ISBN-13(EAN): 9783319477640
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Автор: O.L.V. Costa; M.D. Fragoso; R.P. Marques
Название: Discrete-Time Markov Jump Linear Systems
ISBN: 1849969086 ISBN-13(EAN): 9781849969086
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than continuous time

Автор: H. Korezlioglu; G. Mazziotto; J. Szpirglas
Название: Filtering and Control of Random Processes
ISBN: 3540132708 ISBN-13(EAN): 9783540132707
Издательство: Springer
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Цена: 12157.00 р.
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Автор: Prieto-Rumeau Tomas Et Al
Название: Selected Topics On Continuous-Time Controlled Markov Chains And Markov Games
ISBN: 1848168489 ISBN-13(EAN): 9781848168480
Издательство: World Scientific Publishing
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Цена: 14414.00 р.
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Описание: Deals with continuous-time controlled Markov chains and Markov games. This book proposes assumptions on the control and game models that are easily verifiable (and verified) in practice. It also analyzes algorithmic and computational issues.

Автор: G. George Yin; Qing Zhang
Название: Discrete-Time Markov Chains
ISBN: 1441919554 ISBN-13(EAN): 9781441919557
Издательство: Springer
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Цена: 10754.00 р.
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Описание: Thus, we have to deal with situations in which the systems are only nearly decomposable in the sense that there are weak links among the irreducible subsystems, which dictate the oc- sional regime changes of the system.