LEADER 04438nam 22006855 450 001 9910299668803321 005 20220404223858.0 010 $a3-319-08723-1 024 7 $a10.1007/978-3-319-08723-8 035 $a(CKB)3710000000202676 035 $a(EBL)1783134 035 $a(OCoLC)894170154 035 $a(SSID)ssj0001295609 035 $a(PQKBManifestationID)11724583 035 $a(PQKBTitleCode)TC0001295609 035 $a(PQKBWorkID)11343729 035 $a(PQKB)10380211 035 $a(DE-He213)978-3-319-08723-8 035 $a(MiAaPQ)EBC1783134 035 $a(PPN)179923382 035 $a(EXLCZ)993710000000202676 100 $a20140717d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalysis and design of singular Markovian jump systems /$fby Guoliang Wang, Qingling Zhang, Xinggang Yan 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (287 p.) 300 $aDescription based upon print version of record. 311 $a3-319-08722-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Stability -- Stabilization -- H-infinity Control -- Observer-based Feedback Stabilization -- Filtering -- Adaptive Control -- Applications of a Markov Process. 330 $aThis monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H? control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat?s Lemma, among other techniques. Features of the book include: study of the stability problem for SMJSs with general transition rate matrices (TRMs); stabilization for SMJSs  by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; mode-dependent and mode-independent H? control solutions with development of a type of disordered controller; observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent; consideration of robust H? filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corresponding closed-loop system states applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays. Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.  . 410 0$aSpringer engineering ebooks. 606 $aAutomatic control 606 $aSystem theory 606 $aProbabilities 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aAutomatic control. 615 0$aSystem theory. 615 0$aProbabilities. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 615 24$aProbability Theory and Stochastic Processes. 676 $a519 676 $a519.2 676 $a620 676 $a629.8 700 $aWang$b Guoliang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720888 702 $aZhang$b Qingling$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aYan$b Xinggang$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299668803321 996 $aAnalysis and Design of Singular Markovian Jump Systems$92542757 997 $aUNINA