摘要: Nonlinear system online identification via dynamic neural networks is studied in this paper. The main contribution of the paper that passivity approach applied to access several new stable properties neuro identification. conditions for passivity, stability, asymptotic and input-to-state stability are established certain senses. We conclude gradient descent algorithm weight adjustment an L/sub /spl infin// sense robust any bounded uncertainties.
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