论文信息 - A method of dynamic system identification based on memory RBF network

A method of dynamic system identification based on memory RBF network

A recursive network is proposed by introducing memory neurons based on the RBF network. Due to the current output value of the network is related to the past input value in the network, the network will be able to identify the dynamics of the system without the need of explicitly feedback of input and output in the past. Thus, the network is able to identify a system has an unknown order or an unknown delay. Training algorithm and the theoretical rationality are provided in this paper. The validity of the method is verified by simulation of dynamic system identification, and it is of great significance in the field of adaptive control.

Yang Zhang | Qiang Lv | Huican Lin

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