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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.
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on (Volume:2 )
Date of Conference: 12-14 Dec. 2009