Adaptive Dynamic Event-Triggered H ∞ Control for Fuzzy Systems Through an Online Iterative Asynchronous Premise Reconstruction Strategy

This paper is concerned with the adaptive dynamic event-triggered (DET)H∞control for a class of networked nonlinear systems with non-uniform sampling under the Takagi-Sugeno (T-S) fuzzy model. To address the problems of high energy consumption in sensors and the high occupancy rate of limited bandwidth, an improved adaptive DET communication mechanism with non-uniform sampling is proposed, in which the interval dynamic variable is constructed with an adaptive law. Unlike existing works, an online iterative asynchronous premise reconstruction (APR) technique is devised to tackle the challenges caused by the mismatch of premise variables. Based on the adaptive DET mechanism and the online iterative APR method, switched-like fuzzy controllers are designed, which can be switched at different triggering instances. Furthermore, to ensure stability and achieve the desired control performance, new triggering instants-dependent Lyapunov functions are construct- ed in accordance with the idea of event interval partitioning. Fi- nally, the practicability of the proposed strategy is demonstrated using two practical examples.