000 03660nam a22004095i 4500
001 85867
003 ES-MaUEC
005 20240611040145.0
007 cr nn 008mamaa
008 160420s2016 gw | s |||| 0|eng d
020 _a9783319319155
040 _aES-MaUEC
_bspa
050 4 _aQA274.755
_b.Y36 2016 EB
082 0 4 _a629.8
100 1 _aYao, Xiuming.
_999135
_0Local
245 1 0 _aFiltering and Control of Stochastic Jump Hybrid Systems
_cby Xiuming Yao, Ligang Wu, Wei Xing Zheng
264 1 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XIX, 212 páginas)
_b57 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Systems, Decision and Control
_x2198-4182
_v58
505 0 _aIntroduction -- Part I Robust Filtering -- Part II Robust Control.
520 _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.
650 7 _aProcesos estocásticos
_2embne
_9405190
700 1 _aWu, Ligang.
_999136
_0Local
_0http://id.loc.gov/authorities/names/n2014030523
_1http://viaf.org/viaf/29403411
700 1 _aZheng, Wei Xing
_0Local
_999137
710 2 _aSpringerLink (Online service)
_0Local
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
_9106996
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-31915-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319319155
907 _a.b12951456
_b10-10-17
_c21-11-16
942 _2lcc
_cLE
945 _aEBOOK EB
_g1
_ieBOOK
_j0
_lmae
_o-
_pEUR0.00
_q-
_r-
_sb
_t15
_u0
_v0
_w0
_x0
_y.i11614572
_z30-06-17
988 0 0 _aEBOOK, EBSPRINGER, GOBI_sep2018
988 _aEbook_one2one
998 _aSI
_a_alco
_a_vill
_b10/2018
_cm
_dz
_ek
_feng
_ggw
_h0
999 _c85867
_d85867
_x1