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008 150903s2006 xxu| o |||| 0|eng d
020 _a9780817644529
_99780817644529
024 7 _a10.1007/0817644520
_2doi
035 _avtls000333500
039 9 _a201509030721
_bVLOAD
_c201404120635
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aBoukas, El-Kébir.
_eautor
_9305882
245 1 0 _aStochastic Switching Systems :
_bAnalysis and Design /
_cby El-Kébir Boukas.
264 1 _aBoston, MA :
_bBirkhäuser Boston,
_c2006.
300 _ax, 405 páginas 7 ilustraciones
_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 _aControl Engineering
500 _aSpringer eBooks
505 0 _aStability Problem -- Stabilization Problem -- ?? Control Problem -- Filtering Problem -- Singular Stochastic Switching Systems.
520 _aStochastic switching systems represent an interesting class, which can be used to model a variety of systems having abrupt random changes in their dynamics. Such systems may be found in the fields of manufacturing, communications, aerospace, power, and economics. This work presents stochastic switching systems and provides up-to-date methods and techniques for the analysis and design of various control systems with or without uncertainties. An introductory chapter highlights basic concepts and practical models, which are then used to solve more advanced problems throughout the book. Included are many numerical examples as well as LMI analysis methods and design approaches to supplement the developed results. Specific topics covered include: * The stochastic stability problem and its robustness. * The stabilization problem; different controllers such as the state feedback, output feedback, and observer-based output feedback are designed for nominal and uncertain systems using LMI conditions. * Systems with external disturbances; different approaches are developed to reject the external disturbances. * The filtering problem for the class of systems with Markovian jump parameters; Kalman and H-infinity filtering problems are treated and LMI conditions are developed to synthesize the gains of these filters. * Systems with singular Markovian jump parameters. Stochastic Switching Systems may be used as a supplementary textbook for graduate-level engineering courses, or as a reference for control engineers, graduate students, and researchers in systems and control. Prerequisites include elementary courses in matrix theory, probability, optimization techniques, and control systems theory.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780817637828
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-8176-4452-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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