Robust adaptive fuzzy fault diagnosis and tolerant control for SISO unknown nonlinear systems

Robust adaptive fuzzy fault diagnosis and fault tolerant control algorithms is presented for a class of single input and single output unknown nonlinear systems. At first, the design of adaptive fuzzy fault diagnosis is performed by using fuzzy logic systems with nonlinear observer techniques. Using the estimated fault vector, a fault tolerant controller is established under the framework of the backstepping design. The control approach guarantees the stability of the closed-loop systems which do not satisfy the matching conditions. Simulation result illustrates the effectiveness of this approach.