Approximate linearization of nonlinear systems: a neural network approach
作者： Hai-Long Pei , Qi-Jie Zhou , T.P. Leung
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摘要: Recent researches show that neural networks have the ability to approximate a function as well its derivatives. This result offers promising opportunity introduce network theory into nonlinear system control. In this paper novel method of linearization with is proposed. The approximator designed integrate involutive equation no matter whether integrability condition satisfied or not. Simulation results feasible.
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