Proceedings of the Japan Joint Automatic Control Conference
46th Proceedings of the Japan Joint Automatic Control Conference
Session ID : FA2-13-1
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Parameter Estimation for Nonlinear Systems Using An Interconnected Neural Network
*Kazuyuki IwamotoYoshihiro YamamotoHiroki YoshimuraSatoru Harada
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Abstract
A parameter estimation of nonlinear systems is discussed using the EBP-EWLS Learning Algorithm for an Interconnected Neural Network. A nonlinear system is of a form with a linear term of the current input signal, a coefficient of which is important for a control by a simple model matching method. The result is also extended to the case with time lag. Some simulation results are examined for many types of a test input signal.
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© 2003 JACC Organizing Committee
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