Quantized Static Output Feedback Fuzzy Tracking Control for Discrete-Time Nonlinear Networked Systems With Asynchronous Event-Triggered Constraints

In this article, the H-infinity static output feedback tracking control problem is studied for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints. The Takagi-Sugeno (T-S) fuzzy model is utilized to represent the investigated nonlinear networked systems. A novel asynchronous event-triggered strategy is given to reduce the network communication burdens in both communication channels from the plant to the controller and from the reference model to the controller. The objective of this article is to design a quantized event-triggered tracking controller such that the resulting system is asymptotically stable and the given H-infinity tracking performance is guaranteed. The sufficient design conditions for the tracking controller are formulated in the form of the linear matrix inequalities (LMIs). Furthermore, a simulation example will be utilized to show the effectiveness of the developed design strategy.

Automated summary

This article studies the H-infinity static output feedback tracking control problem for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints, using the Takagi-Sugeno fuzzy model and a novel asynchronous event-triggered strategy. The goal is to design a quantized event-triggered tracking controller that ensures system stability and H-infinity tracking performance, with design conditions formulated as linear matrix inequalities (LMIs) and effectiveness demonstrated through simulation example.