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Advanced mathematical tools for automatic control engineers.. Volume 2,. Stochastic techniques

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced mathematical tools for automatic control engineers./ Alex Poznyak.
remainder title:	Stochastic techniques
Author:	Poznyak, Alexander S.
Published:	Amsterdam :Elsevier Science, : 2009.,
Description:	1 online resource (xxix, 538 p.) :ill.
Notes:	Description based on print version record.
[NT 15003449]:	Preface; Introduction; Probability Space; Random Variables; Mathematical Expectation; Random Sequences; Conditional Mathematical Expectation; Discrete Martingales; Large Number Laws; Characteristic Functions and the Central Limit Theorem; Iterative Logarithmic Law; Stochastic Differential Equations; Wiener and Kalman Filtering; Parametric Identification under Stochastic Measurements; Stochastic Optimization; Finite Markov Chains, Discrete Events and Elements of Queering Theory.
Subject:	Automatic control - Mathematics. -
Online resource:	http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=248840
Online resource:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780080446738An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.sciencedirect.com/science/book/9780080446738An electronic book accessible through the World Wide Web; click for information
Online resource:	http://public.eblib.com/EBLPublic/PublicView.do?ptiID=472921Click here to view book
ISBN:	0080914039 (electronic bk.)

Advanced mathematical tools for automatic control engineers.. Volume 2,. Stochastic techniques
Poznyak, Alexander S.

Advanced mathematical tools for automatic control engineers.Volume 2,Stochastic techniques[electronic resource] /Stochastic techniquesAlex Poznyak. - 1st ed. - Amsterdam :Elsevier Science,2009. - 1 online resource (xxix, 538 p.) :ill.

Description based on print version record.

Includes bibliographical references (p. 529-533) and index.

Preface; Introduction; Probability Space; Random Variables; Mathematical Expectation; Random Sequences; Conditional Mathematical Expectation; Discrete Martingales; Large Number Laws; Characteristic Functions and the Central Limit Theorem; Iterative Logarithmic Law; Stochastic Differential Equations; Wiener and Kalman Filtering; Parametric Identification under Stochastic Measurements; Stochastic Optimization; Finite Markov Chains, Discrete Events and Elements of Queering Theory.

The second volume of this work continues the and approach of the first volume, providing mathematical tools for the control engineer and examining such topics as random variables and sequences, iterative logarithmic and large number laws, differential equations, stochastic measurements and optimization, discrete martingales and probability space. It includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to system and automatic control theories. It also has applications to game theory, machine learning and intelligent systems. * Provides comprehensive theory of matrices, real, complex and functional analysis * Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications * Contains worked proofs of all theorems and propositions presented.

ISBN: 0080914039 (electronic bk.)Subjects--Topical Terms:

898965
Automatic control
--Mathematics.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TJ212 / .P69 2009eb

Dewey Class. No.: 629.8312

Advanced mathematical tools for automatic control engineers.. Volume 2,. Stochastic techniques
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504 $a Includes bibliographical references (p. 529-533) and index.
505 0 $a Preface; Introduction; Probability Space; Random Variables; Mathematical Expectation; Random Sequences; Conditional Mathematical Expectation; Discrete Martingales; Large Number Laws; Characteristic Functions and the Central Limit Theorem; Iterative Logarithmic Law; Stochastic Differential Equations; Wiener and Kalman Filtering; Parametric Identification under Stochastic Measurements; Stochastic Optimization; Finite Markov Chains, Discrete Events and Elements of Queering Theory.
520 $a The second volume of this work continues the and approach of the first volume, providing mathematical tools for the control engineer and examining such topics as random variables and sequences, iterative logarithmic and large number laws, differential equations, stochastic measurements and optimization, discrete martingales and probability space. It includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to system and automatic control theories. It also has applications to game theory, machine learning and intelligent systems. * Provides comprehensive theory of matrices, real, complex and functional analysis * Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications * Contains worked proofs of all theorems and propositions presented.
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