2014
DOI: 10.1016/j.isatra.2014.05.005
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H∞ filtering for a class of discrete-time singular Markovian jump systems with time-varying delays

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Cited by 77 publications
(16 citation statements)
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“…When singular systems experience abrupt changes in their structures, it is natural to model them as singular Markovian jump systems [1,2]. The analysis and synthesis of such class of systems have gained considerable attention because of their importance in applications (see, e.g., the literature [3][4][5][6][7][8][9][10] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…When singular systems experience abrupt changes in their structures, it is natural to model them as singular Markovian jump systems [1,2]. The analysis and synthesis of such class of systems have gained considerable attention because of their importance in applications (see, e.g., the literature [3][4][5][6][7][8][9][10] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, TDSs have received considerable interest for their extensive applications in practical systems, such as mechanics, economy, neural networks, physics, medicine, biology, and engineering systems. Thus, it is theoretically and practically important to study the dynamical systems with time delay …”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is theoretically and practically important to study the dynamical systems with time delay. To date, many researchers have invested a lot of time and effort to investigate the problem of stability analysis for TDSs in the real engineering systems, such as singular systems, 4,5 Markov jump systems, 6,7 synchronization issues, 8,9 sliding mode control, 10 robust nonfragile filtering, 11 H ∞ tracking, 12 uncertain neural networks, 13 and other scientific areas. 14,15 The existing results of TDSs can be classified into 2 categories: delay-independent and delay-dependent ones.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the issue of stability analysis for TDSs has become a popular subject of research for their extensive applications in practical systems, such as H ∞ out tracking control system [36], markovian jump system [32], H ∞ filtering [4], reliable passive control for singular systems [28], dissipativity analysis [38], neural networks [22,23], and other scientific areas.…”
Section: Introductionmentioning
confidence: 99%