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Output Feedback for a Class of Non-affine Nonlinear System via Neural Networks

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2 Author(s)
Zhao Tong ; Dept. of Autom. Control, Qingdao Univ. of Sci. & Technol., Qingdao, China ; Zhao Pin

An adaptive output feedback control scheme is proposed for a class of non-affine nonlinear system in which the output signal can track the reference signal. A state observer is constructed to estimate the unknown state in system. A three-layer neural network is introduced to compensate the modeling errors and a Robust control is also used to reduce the approximation error, which adds to the anti-interference ability of the system. The stability of the system is accurately proved. Simulation results demonstrate the effectiveness and feasibility of proposed scheme.

Published in:

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on  (Volume:2 )

Date of Conference:

12-14 Dec. 2009