Adaptive Fault Estimation and Fault-Tolerant Control for Nonlinear System With Unknown Nonlinear Dynamic

This paper investigates the problems of fault estimation and fault-tolerant control for nonlinear system. The nonlinear part of the system is assumed to be unknown. Based on the adaptive approximation technique, which can be performed by fuzzy logic systems or neural networks, an adaptive fault estimation observer is designed, and the fault and the system state can be estimated simultaneously. Based on the estimation information, the observer-based fault-tolerant controller is designed. In this paper, the parameter matrices of the adaptive law and the observer and the controller can be calculated by slowing LMIs. To verify the proposed scheme, a simulation example is provided at the end of this paper.