Event-Triggered-Based Control Synthesis of Takagi-Sugeno Nonlinear Systems

The key technical problem is studied through digging deeper implied information in the given system fuzzy control system while its stability is ensured with less conservative criteria. The decision of which control mode is executed at any given time is triggered and the real-time scheduler is formed by periodically considering their joint distribution of multiple time normalized fuzzy weighting functions at each sampling time. From the suggested event-triggered benefit scheduling strategy, appropriate control mode of the current time is duly updated, so that if the joint distribution is changed to adapt the basic type of time-varying state, and therefore before the implementation of control tasks with constant control in this study can be further broadened mode. Finally, an experiment is given to demonstrate the effectiveness of the proposed result.