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Partially Parameter-Dependent Dynamic Output Controller with Event-Triggered for Discrete-Time Saturated LPV Systems.

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Bibliographic Details
Title: Partially Parameter-Dependent Dynamic Output Controller with Event-Triggered for Discrete-Time Saturated LPV Systems.
Authors: de Souza, Carla, Leite, Valter J. S., Castelan, Eugênio B.
Source: Journal of Control, Automation & Electrical Systems; Feb2024, Vol. 35 Issue 1, p1-11, 11p
Subject Terms: LINEAR matrix inequalities, CLOSED loop systems, LINEAR systems, FUZZY neural networks, HOPFIELD networks
Abstract: We propose an event-triggered control strategy based on a dynamic output-feedback controller for stabilizing discrete-time linear parameter-varying systems. Such a controller has an anti-windup term and is partially dependent on time-varying parameters. Two event generators are introduced on the sensor-to-controller and controller-to-actuator channels to economize the limited network resources. They decide whether the current output measurement and control input should be sent through the network or not. Sufficient conditions in terms of linear matrix inequalities are provided to ensure the regional asymptotic stability of the closed-loop system and estimate its domain of attraction. The transmission activity is indirectly reduced thanks to appropriate optimization procedures. A numerical example testifies the efficiency of the proposed methodology. [ABSTRACT FROM AUTHOR]
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Abstract:We propose an event-triggered control strategy based on a dynamic output-feedback controller for stabilizing discrete-time linear parameter-varying systems. Such a controller has an anti-windup term and is partially dependent on time-varying parameters. Two event generators are introduced on the sensor-to-controller and controller-to-actuator channels to economize the limited network resources. They decide whether the current output measurement and control input should be sent through the network or not. Sufficient conditions in terms of linear matrix inequalities are provided to ensure the regional asymptotic stability of the closed-loop system and estimate its domain of attraction. The transmission activity is indirectly reduced thanks to appropriate optimization procedures. A numerical example testifies the efficiency of the proposed methodology. [ABSTRACT FROM AUTHOR]
ISSN:21953880
DOI:10.1007/s40313-023-01046-w