Event-Triggered Fuzzy Control for Nonlinear Systems via Sliding Mode Approach

This article addresses the problem of continuous-time dynamic sliding mode control for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. First, a novel sliding mode dynamic system is established by introducing a corresponding sliding mode function and an efficient event-triggered mechanism. Then, based on a new Lyapunov function and the reciprocally convex method, sufficient conditions are presented to guarantee that the constructed network sliding mode dynamics is asymptotically stable. It is shown that the trajectories of the sliding mode dynamic system can converge into a bounded domain of a sliding mode surface in finite time. Furthermore, the explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities. Finally, the applicability and effectiveness of the proposed design techniques are demonstrated by a numerical example.

Automated summary

This article presents a novel continuous-time dynamic sliding mode control method for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. By establishing a new sliding mode dynamic system and utilizing a new Lyapunov function and reciprocally convex method, the asymptotic stability of the constructed network sliding mode dynamics is ensured. The explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities, and the applicability and effectiveness of the proposed design techniques are demonstrated through a numerical example.