Decentralized fault-tolerant control for a class of nonlinear large-scale systems with actuator faults

This paper considers the decentralized fault-tolerant control for a class of nonlinear large-scale systems with actuator faults containing stuck, outage and loss of effectiveness. By Takagi-Sugeno fuzzification, each subsystem of the nonlinear large-scale systems is described in the form of a Takagi-Sugeno fuzzy model with nonlinear interconnections. Under the assumption that each nominal local subsystem model shares the same input matrix, the matrix full rank factorization technique is used to present a decentralized sliding mode fault-tolerant controller to compensate the actuator faults and interconnections. In addition, it is proved that the proposed decentralized controller guarantees the asymptotically stability of the closed-loop systems. Finally, three simulation examples are given to illustrate the effectiveness of the proposed controller.