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008 150903s2005 xxk| o |||| 0|eng d
020 _a9781846283376
_99781846283376
024 7 _a10.1007/b103068
_2doi
035 _avtls000343812
039 9 _a201509030228
_bVLOAD
_c201405070454
_dVLOAD
_y201402061205
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aGershon, Eli.
_eautor
_9315575
245 1 0 _aH?-Control and Estimation of State-multiplicative Linear Systems /
_cby Eli Gershon, Uri Shaked, Isaac Yaesh.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _axv, 249 páginas 24 ilustraciones Also available online.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Control and Information Science,
_x0170-8643 ;
_v318
500 _aSpringer eBooks
505 0 _aPart I: Introduction and Literature Survey: Introduction -- Part II: Continuous-time Systems: Control and Luenberger-type Filtering; General Filtering; Tracking Control; Static Output-feedback; Stochastic Passivity -- Part III: Discrete-time Systems: Control and Luenberger-type Filtering; General Filtering; Tracking Control; Static Output-feedback -- Part IV: Applications: Systems with State-multiplicative Noise: Applications -- Appendix A Introduction to Stochastic Differential Equations -- Appendix B The Continuous DLMI Method -- Appendix C The Discrete DLMI Method.
520 _aMultiplicative 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aShaked, Uri.
_eautor
_9315576
700 1 _aYaesh, Isaac.
_eautor
_9322758
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781852339975
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b103068
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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