Adaptive Control Based on Neural Observer for Nonlinear Systems
| Authors: | Tan Yonghong, Guilin University of Electronic Technology, China
Li Chuntao, Nanjing University of Aeronautics and Astronautics, China |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Neural Networks in Modelling and Control |
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| Keywords: | adaptive control, neural network, nonlinear system, output feedback |
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Abstract
A neural network (NN) based adaptive output feedback controller is proposed for a class of nonlinear systems. In this control scheme, the adaptive output feedback NN controller is proposed by using an observer to estimate the states of the system. The weights of the neural network can be adjusted in terms of Lyapnuov’s stability criterion. The proposed controller can be applied to nonlinear systems without exactly available knowledge of system dynamics.
