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024 7 $a10.1007/978-3-319-47199-0
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035   $a(DE-He213)978-3-319-47199-0
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035   $a(PPN)197136664
035   $a(EXLCZ)993710000000928186
100   $a20161104d2017      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aControl and filtering for semi-Markovian jump systems /$fby Fanbiao Li, Peng Shi, Ligang Wu
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XVIII, 199 p. 39 illus., 34 illus. in color.)
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v81
311   $a3-319-47198-8 
311   $a3-319-47199-6 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Stochastic Stability of Semi-Markovian Jump Systems -- Constrained Regulation of Singular Semi-Markovian Jump Systems -- State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems -- Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems -- Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems -- Event-Triggered Fault Detection for Semi-Markovian Jump Systems -- Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems -- Fault Detection for Underactuated Manipulators Modeled by MJS -- Conclusion and Further Work. .
330   $aThis book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v81
606   $aAutomatic control
606   $aSystem theory
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
615  0$aAutomatic control.
615  0$aSystem theory.
615 14$aControl and Systems Theory.
615 24$aSystems Theory, Control.
676   $a620
700   $aLi$b Fanbiao$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941396
702   $aShi$b Peng$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aWu$b Ligang$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910149461803321
996   $aControl and Filtering for Semi-Markovian Jump Systems$92123406
997   $aUNINA