Output Regulation of Large-Scale T-S Fuzzy-Model-Based Decentralized Control Systems with Unknown Interconnection Terms

摘要

This paper considers a regulation problem of nonlinear large-scale systems. To do this, a Takagi-Sugeno (T-S) fuzzy model is adopted for fuzzy modeling of the nonlinear large-scale systems, which has unknown interconnection terms. An output-feedback decentralized fuzzy controller with integral action is employed to drive the system outputs to reach a reference value and minimize the steady-state error. Sufficient conditions for the output regulation are derived from Lyapunov stability and these are formulated in terms of linear matrix inequalities (LMI). Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed design procedures and regulation conditions.