Further Results on Asynchronous Fuzzy Observer-Based Output Feedback Control for Networked Nonlinear Systems Using Quantized Measurements

This article studies the asynchronous observer-based output feedback control for the continuous-time networked nonlinear systems via the Takagi-Sugeno (T-S) fuzzy affine models with quantized measurements. To tackle the premise variables' asynchronous phenomena between the original plant and the observer/controller, an asynchronous piecewise fuzzy affine observer design approach is proposed to estimate the immeasurable system state vectors via making full utilization of some advanced matrix inequalities, a novel existence criterion for the asynchronous observer-based piecewise output feedback controller is derived in an unified convex optimization setup, which successfully relax the constraint that the control input matrices are required to be common and uncertainty-free under each fuzzy rules. Simulation studies are provided to justify the efficacy of the proposed method.