Continuous-Time Markov Chains, William J. Anderson
Автор: Darald J. Hartfiel Название: Markov Set-Chains ISBN: 3540647759 ISBN-13(EAN): 9783540647751 Издательство: Springer Рейтинг: Цена: 3766.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research.
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: Oswaldo Luiz do Valle Costa; Marcelo D. Fragoso; M Название: Continuous-Time Markov Jump Linear Systems ISBN: 3642431127 ISBN-13(EAN): 9783642431128 Издательство: Springer Рейтинг: Цена: 11872.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering an active and high-profile research topic, this volume presents a unified, rigorous treatment of recent developments in control theory that unlock numerous applications in high-integrity systems such as robotics, economics and wireless communications.
Автор: G. George Yin; Qing Zhang Название: Discrete-Time Markov Chains ISBN: 1441919554 ISBN-13(EAN): 9781441919557 Издательство: Springer Рейтинг: Цена: 10754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Graham Название: Markov Chains - Analytic and Monte Carlo Computations ISBN: 1118517075 ISBN-13(EAN): 9781118517079 Издательство: Wiley Рейтинг: Цена: 13456.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them.
Автор: On?simo Hern?ndez-Lerma; Jean B. Lasserre Название: Markov Chains and Invariant Probabilities ISBN: 3034894082 ISBN-13(EAN): 9783034894081 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: = {~k` k = 0, 1, ... } with transition probability function (t.pJ.) P(x, B), i.e., P(x, B) := Prob (~k+1 E B I ~k = x) for each x E X, B E B, and k = 0,1, .... is said to be stable if there exists a probability measure (p.m.) /.l on B such that (*) VB EB. /.l(B) = Ix /.l(dx) P(x, B) If (*) holds then /.l is called an invariant p.m. for the Me ~.
Автор: Hugues Garnier; Liuping Wang Название: Identification of Continuous-time Models from Sampled Data ISBN: 1849967407 ISBN-13(EAN): 9781849967402 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book dedicated to direct continuous-time model identification for 15 years. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB (R) can be used for direct time-domain identification of continuous-time systems.
Автор: G. Gandolfo Название: Continuous-Time Econometrics ISBN: 9401046735 ISBN-13(EAN): 9789401046732 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Continuous-time econometrics is no longer an esoteric subject although most still regard it as such, so much so that it is hardly mentioned in standard textbooks on econometrics.
Автор: G. Fayolle , V. A. Malyshev , M. V. Menshikov Название: Topics in the Constructive Theory of Countable Markov Chains ISBN: 0521461979 ISBN-13(EAN): 9780521461979 Издательство: Cambridge Academ Рейтинг: Цена: 17424.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main point of the present book is to provide methods of analysing Markov chains based on Lyapunov functions. The authors provide not only a self-contained introduction to the theory but also details of how the required Lyapunov functions are constructed in various situations.
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