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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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Advanced mathematical tools for automatic control engineers: Stochastic techniques
2009, Elsevier Science
electronic resource /
in English
- 1st ed.
0080914039 9780080914039
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Book Details
Published in
Amsterdam, Boston
Edition Notes
Description based on print version record.
Includes bibliographical references (p. 529-533) and index.
Mode of access: World Wide Web.
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- Created July 28, 2014
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December 18, 2022 | Edited by MARC Bot | import existing book |
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