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Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems

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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 82X/5 ( reviews)

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Book Synopsis Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems by : Harold Kushner

Download or read book Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems written by Harold Kushner. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: The book deals with several closely related topics concerning approxima tions and perturbations of random processes and their applications to some important and fascinating classes of problems in the analysis and design of stochastic control systems and nonlinear filters. The basic mathematical methods which are used and developed are those of the theory of weak con vergence. The techniques are quite powerful for getting weak convergence or functional limit theorems for broad classes of problems and many of the techniques are new. The original need for some of the techniques which are developed here arose in connection with our study of the particular applica tions in this book, and related problems of approximation in control theory, but it will be clear that they have numerous applications elsewhere in weak convergence and process approximation theory. The book is a continuation of the author's long term interest in problems of the approximation of stochastic processes and its applications to problems arising in control and communication theory and related areas. In fact, the techniques used here can be fruitfully applied to many other areas. The basic random processes of interest can be described by solutions to either (multiple time scale) Ito differential equations driven by wide band or state dependent wide band noise or which are singularly perturbed. They might be controlled or not, and their state values might be fully observable or not (e. g. , as in the nonlinear filtering problem).

Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems

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Author :
Release : 1990-01-01
Genre : Control theory
Kind : eBook
Book Rating : 376/5 ( reviews)

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Book Synopsis Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems by : Harold J. Kushner

Download or read book Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems written by Harold J. Kushner. This book was released on 1990-01-01. Available in PDF, EPUB and Kindle. Book excerpt:

Weak Convergence Methods and Singularly Pertubed Stochastic Control and Filtering Problems

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Author :
Release : 1990
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Weak Convergence Methods and Singularly Pertubed Stochastic Control and Filtering Problems by :

Download or read book Weak Convergence Methods and Singularly Pertubed Stochastic Control and Filtering Problems written by . This book was released on 1990. Available in PDF, EPUB and Kindle. Book excerpt:

Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory

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Author :
Release : 1984
Genre : Computers
Kind : eBook
Book Rating : 907/5 ( reviews)

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Book Synopsis Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory by : Harold Joseph Kushner

Download or read book Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory written by Harold Joseph Kushner. This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt: Control and communications engineers, physicists, and probability theorists, among others, will find this book unique. It contains a detailed development of approximation and limit theorems and methods for random processes and applies them to numerous problems of practical importance. In particular, it develops usable and broad conditions and techniques for showing that a sequence of processes converges to a Markov diffusion or jump process. This is useful when the natural physical model is quite complex, in which case a simpler approximation la diffusion process, for example) is usually made. The book simplifies and extends some important older methods and develops some powerful new ones applicable to a wide variety of limit and approximation problems. The theory of weak convergence of probability measures is introduced along with general and usable methods (for example, perturbed test function, martingale, and direct averaging) for proving tightness and weak convergence. Kushner's study begins with a systematic development of the method. It then treats dynamical system models that have state-dependent noise or nonsmooth dynamics. Perturbed Liapunov function methods are developed for stability studies of nonMarkovian problems and for the study of asymptotic distributions of non-Markovian systems. Three chapters are devoted to applications in control and communication theory (for example, phase-locked loops and adoptive filters). Smallnoise problems and an introduction to the theory of large deviations and applications conclude the book. Harold J. Kushner is Professor of Applied Mathematics and Engineering at Brown University and is one of the leading researchers in the area of stochastic processes concerned with analysis and synthesis in control and communications theory. This book is the sixth in The MIT Press Series in Signal Processing, Optimization, and Control, edited by Alan S. Willsky.

Numerical Methods for Stochastic Control Problems in Continuous Time

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Release : 2013-11-27
Genre : Mathematics
Kind : eBook
Book Rating : 07X/5 ( reviews)

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Book Synopsis Numerical Methods for Stochastic Control Problems in Continuous Time by : Harold Kushner

Download or read book Numerical Methods for Stochastic Control Problems in Continuous Time written by Harold Kushner. This book was released on 2013-11-27. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic control is a very active area of research. This monograph, written by two leading authorities in the field, has been updated to reflect the latest developments. It covers effective numerical methods for stochastic control problems in continuous time on two levels, that of practice and that of mathematical development. It is broadly accessible for graduate students and researchers.

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