L-2-Disturbance Attenuation For Lpv Systems Under Sampled-Data Control

This paper focuses on the synthesis of sampled-data linear parameter-varying (LPV) control laws. In particular, the problem of L-2 disturbance attenuation for continuous-time LPV systems under aperiodic sampling is addressed. It is explicitly assumed that the LPV controller is updated only at the sampling instants while the plant parameter can evolve continuously between two sampling instants. The proposed approach is based on a polytopic model for the LPV system and the use of a parameter-dependent looped-functional to deal with the aperiodic sampling effects. From these ingredients, conditions in a quasi-LMI form (ie, they are LMIs provided a scalar parameter is fixed) are derived to compute a stabilizing control lawensuring an upper bound on the closed-loop system L-2-gain. These conditions are then incorporated to convex optimization problems aiming at either minimizing the L-2-gain upper bound or maximizing the allowable sampling interval for which stability is ensured. Numerical examples illustrate the proposed methodology.