On Sensor Quantization in Linear Control Systems: Krasovskii Solutions meet Semidefinite Programming - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IMA Journal of Mathematical Control and Information Année : 2019

On Sensor Quantization in Linear Control Systems: Krasovskii Solutions meet Semidefinite Programming

Résumé

Stability and stabilization for linear state feedback control systems in the presence of sensor quantiza- tion are studied. As the closed-loop system is described by a discontinuous right-hand side differential equation, Krasovskii solutions (to the closed-loop system) are considered. Sufficient conditions in the form of matrix inequalities are proposed to characterize uniform global asymptotic stability of a compact set containing the origin. Such conditions are shown to be always feasible whenever the quantization free closed-loop system is asymptotically stable. Building on the obtained conditions, computationally affordable algorithms for the solutions to the considered problems are illustrated. The effectiveness of the proposed methodology is shown in three examples.

Domaines

Automatique

Dates et versions

hal-01986194 , version 1 (18-01-2019)

Identifiants

Citer

Francesco Ferrante, Frédéric Gouaisbaut, Sophie Tarbouriech. On Sensor Quantization in Linear Control Systems: Krasovskii Solutions meet Semidefinite Programming. IMA Journal of Mathematical Control and Information, 2019, 37 (2), pp.395--417. ⟨10.1093/imamci/dnz003⟩. ⟨hal-01986194⟩
120 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More