2021
DOI: 10.1016/j.cam.2020.113332
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Computation and verification of contraction metrics for exponentially stable equilibria

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Cited by 9 publications
(3 citation statements)
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“…In Giesl, Hafstein & Mehrabinezhad 2021 [66], a different strategy is followed to compute contraction metrics for nonlinear systems with an exponentially stable equilibrium. First, a semidefinite optimization problem is proposed, of which every feasible solution delivers a contraction metric for the system.…”
Section: Control Systemsmentioning
confidence: 99%
“…In Giesl, Hafstein & Mehrabinezhad 2021 [66], a different strategy is followed to compute contraction metrics for nonlinear systems with an exponentially stable equilibrium. First, a semidefinite optimization problem is proposed, of which every feasible solution delivers a contraction metric for the system.…”
Section: Control Systemsmentioning
confidence: 99%
“…In this paper we will present such a verification and, in addition, show that the verification can be combined with the procedure from [4] to deliver a method that is able to compute a contraction metric for any system with an exponentially stable periodic orbit. The main idea is similar to [8], in which we have provided a computation and verification method for contraction metrics in case of exponentially stable equilibrium points. As in [8] we show that our novel method is successful in computing a metric if sufficiently many points are used in the collocation (as in [4]) and sufficiently small simplices in the verification.…”
Section: Introductionmentioning
confidence: 99%
“…The main idea is similar to [8], in which we have provided a computation and verification method for contraction metrics in case of exponentially stable equilibrium points. As in [8] we show that our novel method is successful in computing a metric if sufficiently many points are used in the collocation (as in [4]) and sufficiently small simplices in the verification. However, in contrast to the case of an equilibrium, the contraction condition involves the restriction to the (n − 1)-dimensional subspace perpendicular to f (x) at each point x, which requires a more sophisticated argumentation.…”
Section: Introductionmentioning
confidence: 99%