2015
DOI: 10.21236/ada625045
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Switched Systems With Multiple Invariant Sets

Abstract: This paper explores dwell time constraints on switched systems with multiple, possibly disparate invariant limit sets. We show that, under suitable conditions, trajectories globally converge to a superset of the limit sets and then remain in a second, larger superset. We show the effectiveness of the dwell-time conditions by using examples of switching limit cycles commonly found in robotic locomotion and flapping flight.

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Cited by 4 publications
(16 citation statements)
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“…One notable example which utilizes dwell-time criteria for nonlinear systems is in [46], where it is shown that input-to-state induced norms should be bounded uniformly between switches. In terms of applications, dwell-time criteria for attaining exponential stability has been shown to be effective for robotic systems, in particular walking locomotion and flapping flight [47] as well as autonomous vehicle steering [48].…”
Section: Corollary 1 (Lévy Noise Stochastic Contraction Theorem)mentioning
confidence: 99%
“…One notable example which utilizes dwell-time criteria for nonlinear systems is in [46], where it is shown that input-to-state induced norms should be bounded uniformly between switches. In terms of applications, dwell-time criteria for attaining exponential stability has been shown to be effective for robotic systems, in particular walking locomotion and flapping flight [47] as well as autonomous vehicle steering [48].…”
Section: Corollary 1 (Lévy Noise Stochastic Contraction Theorem)mentioning
confidence: 99%
“…It is assumed that, for each p ∈ P, the vector field f p : R n ×R m → R n is locally Lipschitz in its arguments, and that there exists a unique x * p ∈ R n with 0 = f p (x * p , 0). As in Section II-A, we allow for x * p = x * q when p = q. Analogous to Section II-A, we will require each system in the family (13) to be input-to-state stable, as defined below.…”
Section: B Switched Continuous Systemsmentioning
confidence: 99%
“…Various applications demand switching among systems that do not share a common equilibrium-such as planning motions of legged [11], [12] and aerial [13] robots, cooperative manipulation among multiple robotic arms [14], power control in multi-cell wireless networks [15], and models for nonspiking of neurons [16]. Such systems are referred to in the literature as switched systems with multiple equilibria.…”
Section: Introductionmentioning
confidence: 99%
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