53rd IEEE Conference on Decision and Control 2014
DOI: 10.1109/cdc.2014.7040367
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Input-to-state stability for switched systems with unstable subsystems: A hybrid Lyapunov construction

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Cited by 25 publications
(17 citation statements)
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“…While not directly related to the proof of Theorem 1, this result is presented here to show the advantage of our method in comparison with that of [13]. More details on this result can be found in [27].…”
Section: Digression On Iss Of the Switched Systemsmentioning
confidence: 77%
“…While not directly related to the proof of Theorem 1, this result is presented here to show the advantage of our method in comparison with that of [13]. More details on this result can be found in [27].…”
Section: Digression On Iss Of the Switched Systemsmentioning
confidence: 77%
“…, q max } can be partitioned as Q = Q u ∪ Q s , where the modes q ∈ Q s characterize the stable dynamics, while the modes q ∈ Q u characterize the unstable dynamics. For this type of systems good behavior of the solutions can be guaranteed as long as the amount of activation time of the unstable modes Q u is bounded by a timeratio constraint (Muñoz de la Peña & Christofides, 2008; Yang & Liberzon, 2014), which has the form T (s, t) ≤ T 0 + η 2 (t − s), where η 2 ∈ [0, 1), T 0 ∈ R ≥0 , and where T (s, t) denotes the total activation time of modes q u ∈ Q u between times s and t. This type of time-ratio constraint can be induced by making use of an auxiliary state τ 2 ∈ R ≥0 associated to a time-ratio monitor that evolves according to the hybrid dynamicṡ…”
Section: Switched Learning Inclusions With Unstable Modesmentioning
confidence: 99%
“…Following this theory, the use of averaged models can be avoided, as the system's dynamical behavior in every switching state is inherently included in the model. Given a switched system, the Lyapunov theory is a proven tool for stability analysis [14][15][16][17]. Based on this theoretical background, refs.…”
Section: Introductionmentioning
confidence: 99%