H [infinity symbol] control and estimation of state-multiplicative linear systems /

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Bibliographic Details
Author / Creator:Gershon, Eli.
Imprint:London : Springer, 2005.
Description:1 online resource (xv, 249 pages) : illustrations.
Language:English
Series:Lecture notes in control and information sciences ; 318
Lecture notes in control and information sciences ; 318.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11066814
Hidden Bibliographic Details
Other authors / contributors:Shaked, U. (Uri), 1943-
Yaesh, Isaac.
ISBN:9781846283376
184628337X
1852339977
9781852339975
Notes:Includes bibliographical references (pages 239-245) and index.
Print version record.
Summary:Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector. Such systems are relevant, for example, in radar measurements where larger ranges involve higher noise level. This monograph embodies a comprehensive survey of the relevant literature with basic problems being formulated and solved by applying various techniques including game theory, linear matrix inequalities and Lyapunov parameter-dependent functions. Topics covered include: convex H2 and H-infinity norms analysis of systems with multiplicative noise; state feedback control and state estimation of systems with multiplicative noise; dynamic and static output feedback of stochastic bilinear systems; tracking controllers for stochastic bilinear systems utilizing preview information. Various examples which demonstrate the applicability of the theory to practical control engineering problems are considered; two such examples are taken from the aerospace and guidance control areas.
Other form:Print version: Gershon, Eli. H [infinity symbol] control and estimation of state-multiplicative linear systems. London : Springer, 2005 1852339977 9781852339975
Standard no.:9786611390341
Description
Summary:

Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector. Such systems are relevant, for example, in radar measurements where larger ranges involve higher noise level.

This monograph embodies a comprehensive survey of the relevant literature with basic problems being formulated and solved by applying various techniques including game theory, linear matrix inequalities and Lyapunov parameter-dependent functions.

Topics covered include: convex H2 and H-infinity norms analysis of systems with multiplicative noise; state feedback control and state estimation of systems with multiplicative noise; dynamic and static output feedback of stochastic bilinear systems; tracking controllers for stochastic bilinear systems utilizing preview information.

Various examples which demonstrate the applicability of the theory to practical control engineering problems are considered; two such examples are taken from the aerospace and guidance control areas.

Physical Description:1 online resource (xv, 249 pages) : illustrations.
Bibliography:Includes bibliographical references (pages 239-245) and index.
ISBN:9781846283376
184628337X
1852339977
9781852339975