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ADACD-Based Novel Optimal Model Identification Scheme for MIMO Discrete Nonlinear Systems

A model identification scheme based on the action dependent adaptive critic design (ADACD) is proposed for MIMO discrete nonlinear system. This scheme first introduces a critic network to approximate the overall identification evaluation of the system and then adjust the parameters of the identification network (i.e. action network) to minimize the output of the critic network. The system is proved to be uniformly ultimately bounded by using Lyapunov method. Furthermore, the weights of the critic and identification networks are also guaranteed to be bounded.