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001			85509
003			ES-MaUEC
005			20240611040143.0
007			cr nn 008mamaa
008			160119s2016 gw | s |||| 0|eng d
020			_a9783319288475
040			_aES-MaUEC _bspa
050		4	_aQA274.755 _b.A53 2016 EB
082	0	4	_a629.8
100	1		_aZhang, Lixian. _998520 _0Local _0http://id.loc.gov/authorities/names/no2002066948 _1http://viaf.org/viaf/284376844
245	1	0	_aAnalysis and Design of Markov Jump Systems with Complex Transition Probabilities _cby Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu
250			_a1st ed.
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XVI, 263 páginas) _b47 ilustraciones, 8 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 _v54
505	0		_aIntroduction -- Part I Partially Unknown TPs -- Part II Piecewise Homogeneous TPs.-Part III Memory TPs.
520			_aThe book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the case involved with both partially unknown TPs and uncertain TPs in a composite way are also tackled. Part II deals with the Markov jump systems with piecewise homogeneous TPs. Methodologies that can effectively handle control problems in the scenario are developed, including the one coping with the asynchronous switching phenomenon between the currently activated system mode and the controller/filter to be designed. Part III focuses on the Markov jump systems with memory TPs. The concept of v-mean square stability is proposed such that the stability problem can be solved via a finite number of conditions. The systems involved with nonlinear dynamics (described via the Takagi-Sugeno fuzzy model) are also investigated. Numerical and practical examples are given to verify the effectiveness of the obtained theoretical results. Finally, some perspectives and future works are presented to conclude the book.
650		7	_aProcesos estocásticos _2embne _9405190
700	1		_aShi, Peng. _998522 _0Local _0http://id.loc.gov/authorities/names/n85258075 _1http://viaf.org/viaf/102985103
700	1		_aYang, Ting. _998521 _0Local _0http://id.loc.gov/authorities/names/nr95030435 _1http://viaf.org/viaf/15107479
700	1		_aZhu, Yanzheng. _998523 _0Local _0http://id.loc.gov/authorities/names/n2011081528 _1http://viaf.org/viaf/219208211
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/10.1007/978-3-319-28847-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319288475
907			_a.b12947878 _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.i11613890 _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			_c85509 _d85509 _x1