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Article Dans Une Revue Automatica Année : 2022

Polyhedral Estimates of the Region of Attraction of the Origin of Linear Systems under Aperiodic Sampling and Input Saturation ⋆

Résumé

This work addresses the stability analysis of linear aperiodic sampled-data systems under saturating inputs. A method to generate an increasing sequence of polyhedral estimates of the region of attraction of the origin of the closed-loop system is proposed. An impulsive system representation, given by a linear flow and a nonlinear jump dynamics due to the saturation term, is employed. From this representation, a convenient partition of the admissible interval for the intersampling time and an appropriate model of the saturation term, the computation of polyhedral contractive sets is carried out considering a convex embedding of the behaviour of the system at the sampling instants. It is then shown that the computed polyhedra are included in the region of attraction of the continuous-time plant driven by the sampled-data control. A numerical example validates the theoretical developments and compares the method presented in this work with other approaches from the literature.
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Dates et versions

hal-03759711 , version 1 (24-08-2022)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Citer

Daniel Denardi Huff, Mirko Fiacchini, João-Manoel Gomes da Silva. Polyhedral Estimates of the Region of Attraction of the Origin of Linear Systems under Aperiodic Sampling and Input Saturation ⋆. Automatica, 2022, 144 (October), pp.110490. ⟨10.1016/j.automatica.2022.110490⟩. ⟨hal-03759711⟩
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