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Self-triggered control via dynamic high-gain scaling (long version)

Abstract : This paper focuses on the construction of self-triggered state feedback laws. The approach followed is a high-gain approach. The event which triggers an update of the control law is based on an dynamical system which state is the high-gain parameter. This approach allows to design control laws ensuring convergence to the origin for nonlinear systems with triangular structure an a specific upper bound on the nonlinearities. This is a long version of a paper which has been published in NOLCOS 2016.
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https://hal.archives-ouvertes.fr/hal-01234174
Contributor : Vincent Andrieu <>
Submitted on : Tuesday, April 19, 2016 - 11:19:13 AM
Last modification on : Wednesday, November 20, 2019 - 3:01:36 AM

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  • HAL Id : hal-01234174, version 2

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Johan Peralez, Vincent Andrieu, Madiha Nadri, Ulysse Serres. Self-triggered control via dynamic high-gain scaling (long version). 2016. ⟨hal-01234174v2⟩

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