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001 9780429426759
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006 m o d
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008 181209t20192019flua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429761928
_q(epub)
020 _a0429761929
_q(epub)
020 _a9780429761935
_q(pdf)
020 _a0429761937
_q(pdf)
020 _a9780429761911
_q(mobi)
020 _a0429761910
_q(mobi)
020 _a9780429426759
_q(electronic bk.)
020 _a0429426755
_q(electronic bk.)
020 _z9781138386570
_q(hardback ;
_qalk. paper)
020 _z113838657X
_q(hardback ;
_qalk. paper)
024 7 _a10.1201/9780429426759
_2doi
035 _a(OCoLC)1083160306
_z(OCoLC)1084727459
035 _a(OCoLC-P)1083160306
050 4 _aQA402
_b.M287 2019eb
072 7 _aSCI
_x064000
_2bisacsh
072 7 _aTEC
_x029000
_2bisacsh
072 7 _aTEC
_x007000
_2bisacsh
072 7 _aMAT
_x007000
_2bisacsh
072 7 _aTHRB
_2bicssc
082 0 4 _a003.76
_223
100 1 _aMa, Lifeng,
_eauthor.
245 1 0 _aNonlinear control and filtering for stochastic networked systems /
_cLifeng Ma, Zidong Wang, Yuming Bo.
264 1 _aBoca Raton :
_bCRC Press,
_c2019.
264 4 _c©2019
300 _a1 online resource (xv, 226 pages) :
_billustrations (black and white)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 8 _aIn this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories/techniques developed are applied to emerging research areas. Key Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems) Exploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice.
505 0 _aIntroduction -- Robust H
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aStochastic systems.
650 0 _aNonlinear control theory.
650 0 _aFilters (Mathematics)
650 7 _aSCIENCE
_xSystem Theory.
_2bisacsh
650 7 _aTECHNOLOGY & ENGINEERING
_xOperations Research.
_2bisacsh
700 1 _aWang, Zidong,
_d1966-
_eauthor.
700 1 _aBo, Yuming,
_eauthor.
856 4 0 _3Read Online
_uhttps://www.taylorfrancis.com/books/9780429426759
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _2lcc
_cEBK
999 _c15573
_d15573