Fuzzy control system

Quantum mechanics

Control (management)

Biology

Event (particle physics)

Exponential stability

Stability (learning theory)

Computer science

Mathematical optimization

Controller (irrigation)

Computer network

Physics

Nonlinear system

Mathematics

Asynchronous communication

Fuzzy logic

Agronomy

Lyapunov function

Artificial intelligence

Linear matrix inequality

Control theory (sociology)

Lyapunov stability

Machine learning

IEEE Transactions on Fuzzy Systems

In this article, the event-triggered asynchronous control problem of nonlinear multiagent systems is investigated based on Takagi-Sugeno fuzzy models. In order to rationally utilize network resources and elaborately avoid unnecessary continuous monitoring, an event-triggered mechanism with a new dynamic threshold parameter and a sampler are considered, respectively. Besides, an asynchronous operation method is adopted to deal with the mismatched premise variables between the fuzzy system and fuzzy controller. Based on the Lyapunov stability theory and appropriate inequality, some sufficient criteria in the form of linear matrix inequalities are obtained to ensure the stability of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness and superiority of the proposed method.

Dynamic Event-Triggered Asynchronous Control for Nonlinear Multiagent Systems Based on T–S Fuzzy Models