Optimal robust decentralized control design for fuzzy complex systems

Abstract

A new decentralized control is designed for a class of fuzzy complex systems. This system is in the form with dimensionality, uncertainty and information structure constraints. The uncertainty, which is bounded, may be due to the unknown parameters and input disturbance. The control scheme is high-order, while the control design is formulated as a constrained optimization problem, which reflects the system's average fuzzy characteristics. We show that the solution to this optimization problem exists and is unique regardless uncertainties and disturbance. An illustrative example is employed for further verification of this control method.