Neural Network Adaptive Control for a Class of Matched SISO Nonlinear Uncertain Systems With Zero Dynamics
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| Title | Neural Network Adaptive Control for a Class of Matched SISO Nonlinear Uncertain Systems With Zero Dynamics |
| Authors | |
| Abstract | The paper presents a direct adaptive tracking control scheme for a class of matched SISO affine nonlinear uncertain systems with zero dynamic using neural network. Through neural network approximation, neural network is used as the emulator of the unknown ideal controller. A quadratic cost function of the error between the unknown ideal controller and the used neural network controller is minimized using a gradient descent method to adjust parameters in neural network. The convergence of parameters and the uniformly ultimately boundedness of tracking error and all states of the closed-loop system are guaranteed based on Lyapunov stability theorem. The effectiveness of the proposed controller is illustrated through the simulation results. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2012-06-01 |
| Source | Journal of Computers Vol 7, No 6 (2012) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |