Hybrid gain performance‐based random ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults
Auteur(s) :
Zhang, Suhuan [Auteur]
Hangzhou Dianzi University [HDU]
Zhang, Junfeng [Auteur]
Hangzhou Dianzi University [HDU]
Zheng, Gang [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Hangzhou Dianzi University [HDU]
Zhang, Junfeng [Auteur]
Hangzhou Dianzi University [HDU]
Zheng, Gang [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la revue :
International Journal of Robust and Nonlinear Control
Pagination :
1425–1452
Éditeur :
Wiley
Date de publication :
2022
ISSN :
1049-8923
Discipline(s) HAL :
Informatique [cs]/Automatique
Résumé en anglais : [en]
Abstract This article proposes a new random event‐triggering scheme to design filter of positive semi‐Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving ...
Lire la suite >Abstract This article proposes a new random event‐triggering scheme to design filter of positive semi‐Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving system performance, a random event‐triggering mechanism consisting of time‐ and event‐triggering modes is constructed. A Bernoulli distribution‐based stochastic variable is introduced to orchestrate the switching of two triggering modes. A concept of hybrid gain performance is presented to guarantee that the filter can attenuate the affect from the disturbance and sensor faults. Then, a random event‐triggered filter is designed for positive semi‐Markovian jump systems subject to intermittent sensor faults. Under the designed filter, hybrid gain performance is achieved. Furthermore, the proposed approach is extended to the systems with stochastically incorrect sensor measurement. A linear programming method is employed for describing and computing the presented conditions. Finally, the validity of the results is verified via two examples.Lire moins >
Lire la suite >Abstract This article proposes a new random event‐triggering scheme to design filter of positive semi‐Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving system performance, a random event‐triggering mechanism consisting of time‐ and event‐triggering modes is constructed. A Bernoulli distribution‐based stochastic variable is introduced to orchestrate the switching of two triggering modes. A concept of hybrid gain performance is presented to guarantee that the filter can attenuate the affect from the disturbance and sensor faults. Then, a random event‐triggered filter is designed for positive semi‐Markovian jump systems subject to intermittent sensor faults. Under the designed filter, hybrid gain performance is achieved. Furthermore, the proposed approach is extended to the systems with stochastically incorrect sensor measurement. A linear programming method is employed for describing and computing the presented conditions. Finally, the validity of the results is verified via two examples.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
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