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Communication Dans Un Congrès Année : 2017

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

Antoine Girard
Thao Dang

Résumé

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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Dates et versions

hal-01540847 , version 1 (16-06-2017)

Identifiants

Citer

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, Jul 2017, Toulouse, France. ⟨10.1016/j.ifacol.2017.08.745⟩. ⟨hal-01540847⟩
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