Method of state observer design and fault detection

By using the radial Gaussian function networks based fuzzy systems with adaptive capability and introducing the hierarchically self-organizing learning algorithm, the methods for design of the adaptive state observer and the fault defection were proposed. In order to extract fuzzy IF-THEN rules from input and output sample data through learning, the Gaussian function was employed to represent the membership functions of the premise part of fuzzy rules. The results of simulation have shown that the proposed nonlinear state observer can better observe the system state and detect the system fault effectively.