A New Sampled-Data Output-Feedback Controller Design of Nonlinear Systems via Fuzzy Affine Models

This article focuses on the sampled-data output-feedback control problem for nonlinear systems represented by Takagi–Sugeno fuzzy affine models. An input delay approach is adopted to describe the sample-and-hold behavior of the measurement output. Via augmenting the system states with the control input, the resulting closed-loop system is converted into a singular system first. Based on the piecewise quadratic Lyapunov–Krasovskii functionals, some novel results on the sampled-data piecewise affine output-feedback controller design are attained by employing some convexification techniques. The simulation studies are presented to illustrate the effectiveness of the proposed scheme.