Decentralized control for a class of discrete-time fuzzy bilinear interconnected large-scale systems

This paper presents the problem of decentralized control for a class of discrete-time fuzzy bilinear interconnected large-scale systems. Based on the Lyapunov stability analysis theory and the parallel distribute compensation (PDC) scheme, some sufficient stabilization conditions are derived for the whole close-loop fuzzy interconnected systems. The cone complementarity linearization (CCL) algorithm is employed to convert the corresponding decentralized fuzzy controller design into a minimum problem with linear matrix inequality (LMI) constraints. Finally, a simulation example shows that the proposed approach is effective.