Event-triggered fuzzy integral control for a class of nonlinear singularly perturbed systems

A fuzzy integral controller with an event-triggered strategy for a class of nonlinear continuous singularly perturbed systems is proposed in this manuscript. Since the singularly perturbed systems are characterized by the parasitic parameter & epsilon;, which leads the systems to have multi-time-scale dynamics, a state feedback controller is proposed and designed for manipulating the effects of the parasitic parameter with the & epsilon; free functions by utilizing the Takagi-Sugeno fuzzy model, integral feedback, and event-triggered mechanism. As a result, we demonstrate that the proposed method maintain almost the same performance as the conventional controllers with less steady-state error while producing fewer events, which makes the communication channels between the plant system and the controller more available, through the examples of electrical engineering problems. & COPY; 2023 ISA. Published by Elsevier Ltd. All rights reserved.

Automated summary

This manuscript proposes a fuzzy integral controller with an event-triggered strategy for a class of nonlinear continuous singularly perturbed systems. The proposed method utilizes the Takagi-Sugeno fuzzy model, integral feedback, and event-triggered mechanism to manipulate the effects of the parasitic parameter and achieves similar performance to conventional controllers with less steady-state error and fewer events. Examples of electrical engineering problems are presented to demonstrate the effectiveness of the proposed method.