000 04015nam a22006495i 4500
001 978-3-319-28847-5
003 DE-He213
005 20220801215218.0
007 cr nn 008mamaa
008 160119s2016 sz | s |||| 0|eng d
020 _a9783319288475
_9978-3-319-28847-5
024 7 _a10.1007/978-3-319-28847-5
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aZhang, Lixian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943015
245 1 0 _aAnalysis and Design of Markov Jump Systems with Complex Transition Probabilities
_h[electronic resource] /
_cby Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVI, 263 p. 47 illus., 39 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_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 σ-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 0 _aControl engineering.
_931970
650 0 _aDynamics.
_943016
650 0 _aNonlinear theories.
_93339
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aNonlinear Optics.
_911414
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aSystems Theory, Control .
_931597
650 2 4 _aNonlinear Optics.
_911414
700 1 _aYang, Ting.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943017
700 1 _aShi, Peng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943018
700 1 _aZhu, Yanzheng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943019
710 2 _aSpringerLink (Online service)
_943020
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319288468
776 0 8 _iPrinted edition:
_z9783319288482
776 0 8 _iPrinted edition:
_z9783319804392
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v54
_943021
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28847-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77237
_d77237