Mathematical methods in robust control of linear stochastic systems (Record no. 1025)

MARC details
000 -LEADER
fixed length control field 03041 a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250417155216.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240501b2013|||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461486626
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.72 D73, 2
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Dragan, Vasile
Relator term Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Morozan, Toader
Relator term Co-Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Stoica, Adrian-Mihail
Relator term Co-Author
245 ## - TITLE STATEMENT
Title Mathematical methods in robust control of linear stochastic systems
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer Science + Business Media,
Year of publication 2013.
Place of publication New York:
300 ## - PHYSICAL DESCRIPTION
Number of Pages xv, 442p.; 22cms.
500 ## - GENERAL NOTE
General note This second edition of Mathematical Methods in the Robust Control of Linear Stochastic Systems includes a large number of recent results in the control of linear stochastic systems. More specifically, the new results presented are:<br/><br/> - A unified and abstract framework for Riccati type equations arising in the stochastic control<br/><br/>- Stability and control problems for systems perturbed by homogeneous Markov processes with infinite number of states<br/><br/>- Mixed H2/ H∞ control problem and numerical procedures<br/><br/>- Linear differential equations with positive evolution on ordered Banach spaces with applications for stochastic systems including both multiplicative white noise and Markovian jumps represented by a Markov chain with countable infinite set of states<br/><br/>- Kalman filtering for stochastic systems subject both to state dependent noise and Markovian jumps<br/><br/>- H∞ reduced order filters for stochastic systems<br/><br/> The book will appeal to graduate students, researchers in advanced control engineering, finance, mathematical systems theory, applied probability and stochastic processes, and numerical analysis.<br/><br/>From Reviews of the First Edition:<br/><br/> This book is concerned with robust control of stochastic systems. One of the main features is its coverage of jump Markovian systems. … Overall, this book presents results taking into consideration both white noise and Markov chain perturbations. It is clearly written and should be useful for people working in applied mathematics and in control and systems theory. The references cited provide further reading sources.<br/><br/> (George Yin, Mathematical Reviews, Issue 2007 m)<br/><br/>This book considers linear time varying stochastic systems, subjected to white noise disturbances and system parameter Markovian jumping, in the context of optimal control … robust stabilization, and disturbanceattenuation. … The material presented in the book is organized in seven chapters. … The book is very well written and organized. … is a valuable reference for all researchers and graduate students in applied mathematics and control engineering interested in linear stochastic time varying control systems with Markovian parameter jumping and white noise disturbances.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Linear stochastic systems
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Structural properties of linear stochastic systems
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Robust stabilization of linear stochastic systems
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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