2011
DOI: 10.1080/00207179.2011.589082
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Input–output finite-time stabilisation of a class of hybrid systems via static output feedback

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Cited by 36 publications
(13 citation statements)
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“…Some related results have been obtained in [18][19][20][21][22][23][24][25]. These results about IO-FTS are mainly involved in impulsive systems [18], linear systems [19][20][21][22], stochastic systems [23], Markovian jump systems [24], and impulsive switched linear systems [25]. It is worth noting that the results mentioned above are mainly concerned with nonpositive systems.…”
Section: Introductionmentioning
confidence: 95%
“…Some related results have been obtained in [18][19][20][21][22][23][24][25]. These results about IO-FTS are mainly involved in impulsive systems [18], linear systems [19][20][21][22], stochastic systems [23], Markovian jump systems [24], and impulsive switched linear systems [25]. It is worth noting that the results mentioned above are mainly concerned with nonpositive systems.…”
Section: Introductionmentioning
confidence: 95%
“…Therefore, some analysis methods of time-varying systems have been extended to impulsive systems in recent years. For examples, differential matrix inequality (DMI)-based conditions for finite-time stability of linear impulsive deterministic systems (LIDSs) were obtained in the works of Amato et al, 22,23 and by using a quadratic time-varying Lyapunov function approach 24,25 or looped Lyapunov function, 25,26 dwell-time-based stability criteria for LIDSs were established in terms of DMIs. Since the time-varying Lyapunov function can capture the hybrid characteristics of LIDSs, these results are adapted to CUDU-type Notation 1.…”
Section: Introductionmentioning
confidence: 99%
“…IO-FTS involves signals defined over a finite-time interval and does not necessarily require the inputs and outputs to belong to the same class, and IO-FTS constraints permit specifying quantitative bounds on the controlled variables to be fulfilled during the transient response [6,7]. Some related results are also presented, such as linear systems [8], hybrid systems via static output feedback [9], nonlinear systems via sliding mode control [10], discrete-time impulsive switch systems [11], nonlinear stochastic systems [12], and Markovian jump systems [13,14].…”
Section: Introductionmentioning
confidence: 99%