Self-Triggered Control for Sampled-data Systems using Reachability Analysis

Abstract : In this work, we design the sampling policy in sampled-data systems. It is known that implementing such systems using variable sampling periods, instead of a constant period, is more efficient in terms of performance and resource utilization. Thus, after rewriting the system in the framework of impulsive linear systems, a self-triggered control strategy obtained using reachability analysis is proposed in order to define the sampling period as a function of the state.
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Mohammad Al Khatib, Antoine Girard, Thao Dang. Self-Triggered Control for Sampled-data Systems using Reachability Analysis. IFAC 2017 - 20th World Congress of the International Federation of Automatic Control, 2017, Toulouse, France. ⟨hal-01540847⟩

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