Suboptimal Robust Controller Design for Networked Control Systems with Nonlinear Perturbation

This paper is concerned with the suboptimal robust controller design of discrete-time networked control systems (NCSs) with nonlinear perturbation. In terms of the given model, a suboptimal robust controller design method is proposed based on linear matrix inequalities (LMIs) approach. Suboptimal maximal allowable perturbation degree and the minimal feedback gain of a memoryless controller are derived by solving a set of LMIs based on Lyapunov functional method. The simulation results illustrate the effectiveness of the proposed method.