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	Robust adaptive neural network control for strict-feedback nonlinear systems with uncertainties
	Sun, Gang ; Wang, Dan ; Peng, Zhouhua ; Wang, Hao ; Wang, Ning ; Lan, Weiyao ; Lan WY(兰维瑶)
	2012
关键词	Intelligent control Nonlinear systems
英文摘要	Conference Name:10th World Congress on Intelligent Control and Automation, WCICA 2012. Conference Address: Beijing, China. Time:July 6, 2012 - July 8, 2012.; Academy of Mathematics and Systems Science; IEEE Robotics and Automation Society; IEEE Control Systems Society; National Natural Science Foundation of China; Chinese Association of Automation; In this paper, we present a robust adaptive neural network control design approach for strict-feedback nonlinear systems with uncertainties. In the controller design process, all unknown terms at intermediate steps are passed down and approximated by a single neural network at the last step. By this way, the structure of the designed controller is much simpler, and the control law and the adaptive law can be given directly. The result of stability analysis shows that the proposed scheme can guarantee the uniform ultimate boundedness of the closed-loop system signals, and the control performance can be guaranteed by an appropriate choice of the control parameters. The effectiveness of the proposed approach is demonstrated by simulation results. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/WCICA.2012.6358086
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86800]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Sun, Gang,Wang, Dan,Peng, Zhouhua,et al. Robust adaptive neural network control for strict-feedback nonlinear systems with uncertainties. 2012-01-01.

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