Stability Analysis of T-S Fuzzy Systems by Using Integral-Type Event-Trigger Scheme

This paper investigates the stability of T-S fuzzy systems by using integral-type event-trigger scheme (lTES). This method establishes a new stability criterion for complex nonlinear systems. Firstly, a new event-trigger scheme is applied. Compared with previous event triggering schemes, this scheme takes the historical state data into consideration and thus can improve the communication efficiency. This adaptability enhances the flexibility of the system and enables it to respond more effectively to environmental changes and interference within the system. Secondly, a looped-function is constructed by using the sampling information, in which the positive and symmetric conditions can be eliminated to ensure the effective sampling from zero time. In addition, by applying some inequality techniques, two stability criteria can be derived from T-S fuzzy systems. Finally, simulation experiments are carried out to prove the effectiveness of the proposed method.