Fault-tolerant control of nonlinear systems with nonlinearly parameterized fuzzy approximators

A novel adaptive fuzzy control method is proposed in this paper for a class of nonlinear disturbed systems which are subject to both lock-in-place and loss of effectiveness actuator faults. Nonlinearly parameterized fuzzy systems are employed to approximate the unknown functions in the control design, and additional control is included to deal with the approximation error as well as the external disturbance. The proposed control method can tolerate the occurred actuator faults adaptively such that the closed-loop stability of the controlled system and satisfactory output tracking to the given reference can be achieved.