2015
DOI: 10.1016/j.ins.2015.05.031
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Exponential stabilization of singularly perturbed switched systems subject to actuator saturation

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Cited by 33 publications
(19 citation statements)
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“…In many SPSs, is usually a known physical parameter. Based on the fact that is available for feedback control, some synthesis problems are considered in [19,20,22]. In [22], for a given -bound 0 , under the dwell time switching law, the -dependent multiple Lyapunov function method was proposed to ensure exponential stability of the original switched system.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…In many SPSs, is usually a known physical parameter. Based on the fact that is available for feedback control, some synthesis problems are considered in [19,20,22]. In [22], for a given -bound 0 , under the dwell time switching law, the -dependent multiple Lyapunov function method was proposed to ensure exponential stability of the original switched system.…”
Section: Problem Formulationmentioning
confidence: 99%
“…However, few results on the -bound estimation are available for SPSSs. The exceptions were given by [21,22]. A convex optimization based method was presented to make the best estimate of -bound for SPSSs whose fast switched subsystems can not depend on the switching signal in [21].…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, some researchers have focused on SPSs subject to actuator saturation . However, there are a few results on SPSSs subject to actuator saturation . In the work of Lian and Wang, the ε‐dependent stabilization problem was solved by designing a time‐dependent switching law and the convex optimization problems were formulated to enlarge the basin of attraction.…”
Section: Introductionmentioning
confidence: 99%
“…The multiple Lyapunov functions were employed in [5]. For slow switching systems, the average dwell time technique was suggested in several papers (see [6,7] and the references therein) to cope with the stability problem.…”
Section: Introductionmentioning
confidence: 99%