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Stochastic Distribution Control System Design, Lei Guo; Hong Wang


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Цена: 130430.00T
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Склад Америка: 228 шт.  
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Автор: Lei Guo; Hong Wang
Название:  Stochastic Distribution Control System Design
ISBN: 9781849960298
Издательство: Springer
Классификация:




ISBN-10: 1849960291
Обложка/Формат: Hardback
Страницы: 216
Вес: 0.48 кг.
Дата издания: 2010
Серия: Advances in Industrial Control
Язык: English
Издание: 2010 ed.
Иллюстрации: 62 illustrations, black and white; xviii, 196 p. 62 illus.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Подзаголовок: A convex optimization approach
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The reader will learn how to expand their use of stochastic control methods.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Two-Scale Stochastic Systems / Asymptotic Analysis and Control

Автор: Kabanov Yuri, Pergamenshchikov Sergei
Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control
ISBN: 3540653325 ISBN-13(EAN): 9783540653325
Издательство: Springer
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Цена: 93160.00 T
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Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.

Design and Control of Intelligent Robotic Systems

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 243800.00 T
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Applied Stochastic Control of Jump Diffusions

Автор: Bernt Oksendal and Agnes Sulem
Название: Applied Stochastic Control of Jump Diffusions
ISBN: 3540698256 ISBN-13(EAN): 9783540698258
Издательство: Springer
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Цена: 65210.00 T
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Описание: The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. Both the dynamic programming method and the maximum principle method are discussed, as well as the relation between them. Corresponding verification theorems involving the Hamilton-Jacobi Bellman equation and/or (quasi-)variational inequalities are formulated. The text emphasises applications, mostly to finance. All the main results are illustrated by examples and exercises appear at the end of each chapter with complete solutions. This will help the reader understand the theory and see how to apply it. The book assumes some basic knowledge of stochastic analysis, measure theory and partial differential equations.In the 2nd edition there is a new chapter on optimal control of stochastic partial differential equations driven by LГ©vy processes. There is also a new section on optimal stopping with delayed information. Moreover, corrections and other improvements have been made.


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