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

Johan Peralez (1) , Vincent Andrieu (1, 2) , Madiha Nadri (1) , Ulysse Serres (1)

1 LAGEP - Laboratoire d'automatique et de génie des procédés
2 Arbeitsgruppe Funktionalanalysis

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.

Mots clés: Nonlinear systems; self-triggered control; continuous-discrete time controller; high-gain; dynamic scaling

Domaines: Automatique / Robotique

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