LEADER 04043nam 22006615 450 001 9910254245603321 005 20251113203522.0 010 $a3-319-31915-9 024 7 $a10.1007/978-3-319-31915-5 035 $a(CKB)3710000000649234 035 $a(EBL)4510557 035 $a(SSID)ssj0001665847 035 $a(PQKBManifestationID)16454456 035 $a(PQKBTitleCode)TC0001665847 035 $a(PQKBWorkID)14999673 035 $a(PQKB)10389075 035 $a(DE-He213)978-3-319-31915-5 035 $a(MiAaPQ)EBC4510557 035 $a(PPN)193445611 035 $a(EXLCZ)993710000000649234 100 $a20160420d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFiltering and Control of Stochastic Jump Hybrid Systems /$fby Xiuming Yao, Ligang Wu, Wei Xing Zheng 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (218 p.) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v58 300 $aDescription based upon print version of record. 311 08$a3-319-31914-0 320 $aIncludes bibliographical references. 327 $aIntroduction -- Part I Robust Filtering -- Part II Robust Control. 330 $aThis book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs). Based on the derived analysis conditions, the filtering and control problems are addressed. The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs. The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v58 606 $aControl engineering 606 $aSystem theory 606 $aControl theory 606 $aControl and Systems Theory 606 $aSystems Theory, Control 615 0$aControl engineering. 615 0$aSystem theory. 615 0$aControl theory. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 676 $a519.2 700 $aYao$b Xiuming$4aut$4http://id.loc.gov/vocabulary/relators/aut$0762217 702 $aWu$b Ligang$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZheng$b Wei Xing$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254245603321 996 $aFiltering and Control of Stochastic Jump Hybrid Systems$92512410 997 $aUNINA