Adaptive uncerntainty identification with neural network

This paper provides an identification method for uncertainties in system via dynamic neural networks, where the uncertainties include parameter uncertainty, disturbances, faults or system load. The incertainties here are translated into the weight matrices to be identified. To idenfication purpose, a dynamic neural network observer is designed, where weight matrices are adaptive tuned. The numerical simulation shows that the given idenificatuion algorithm is more suitable for disturbances, faults or system load. For given system load, the present algorithm can model system into multimodel mode.