Electronics Optics & Control, Volume. 22, Issue 10, 89(2015)
Neural Network Control with Input Nonlinearities and Dynamic Uncertainties
A scheme for design of adaptive neural network controller is proposed for the class of non-affine systems with dead-zone nonlinear input and unmodeled dynamics.Compared with the existing methods,this scheme can improve the processing effect for unmodeled dynamics,simplify the design procedure and increase the tracking precision.Furthermore,it can make the stability analysis more reasonable.By theoretical analysis,the closed-loop systems is shown to be semi-globally uniformly ultimately bounded.Simulation results demonstrate the effectiveness of the proposed method.
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LI Hong-chun, WANG Bin, FAN Cong-shan. Neural Network Control with Input Nonlinearities and Dynamic Uncertainties[J]. Electronics Optics & Control, 2015, 22(10): 89
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Received: Nov. 17, 2014
Accepted: --
Published Online: Jan. 19, 2016
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