SUMMARYThis paper addresses the problems of stability analysis and stabilization of sampled-data control systems under magnitude and rate saturating actuators. A position-type feedback modeling for the actuator is considered. Based on the use of a quadratic Lyapunov function, a looped-functional, and generalized sector relations (to cope with nested saturation functions), LMI-based conditions are derived to assess local (regional) and global stability of the closed-loop systems under aperiodic sampling strategies and also to synthesize stabilizing sampled-data state feedback control laws. These conditions are then incorporated in convex optimization problems aiming at maximizing estimates of the region of attraction of the origin or maximizing the inter-sampling time for which the stability is ensured regionally or, when possible, globally.

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This paper addresses the problem of stability analysis of sampled-data control of linear systems in the presence of input magnitude and rate saturation. A position-type feedback modeling for the actuator is considered. Based on the use of a discrete-time quadratic Lyapunov function, a loopedfunctional and generalized sector relations (to cope with nested saturation functions), LMI conditions are derived to assess local (regional) and global stability of the sampled-data closed-loop systems under aperiodic sampling strategies.

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