Adaptive sliding mode control using RBF neural network for nonlinear system

doi:10.1109/ICMLC.2008.4620709

	Adaptive sliding mode control using RBF neural network for nonlinear system
	Zhang, Ming-Guang; Chen, Yu-Wu; Wang, Peng; Wang, Zhao-Gang
	2008
会议日期	July 12, 2008 - July 15, 2008
会议地点	Kunming, China
关键词	Backpropagation Closed loop systems Controllers Feedback linearization Learning systems Nonlinear systems Pendulums Personal computing Radial basis function networks Sliding mode control Uncertainty analysis Adaptive Adaptive sliding mode control Adaptive sliding mode controller Feedback linearization methods Inverted pendulum Multi-layer feed-forward networks Radial basis function neural networks RBF Neural Network
卷号	4
DOI	10.1109/ICMLC.2008.4620709
页码	1860-1865
英文摘要	A novel adaptive sliding mode controller based on Radial Basis Function neural network (RBFNN) is proposed in this paper for the nonlinear systems with uncertainties using feedback linearization method. An adaptive rule is utilized to on-line adjusting the weights of RBFNN, which is used to compute the equivalent control. Adaptive training algorithm was derived in the sense of Lyapunov stability analysis, so that the stability of the closed-loop system can be guaranteed even in the case of uncertainty. Using the RBFNN, instead of multilayer feed forward network trained with back propagation, works out shorter reaching time. Chattering problem of SMC is substantially derived in the proposed controller. Simulation Jesuits show that the position hacking responses closely follow the desired trajectory occurrence of the disturbances. Also, simulation results demonstrate that the proposed controller is a stable control scheme for the inverted pendulum trajectory hacking applications and has strong rubu stness. ©2008 IEEE.
会议录	Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116894]
专题	电气工程与信息工程学院
作者单位	School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Zhang, Ming-Guang,Chen, Yu-Wu,Wang, Peng,et al. Adaptive sliding mode control using RBF neural network for nonlinear system[C]. 见:. Kunming, China. July 12, 2008 - July 15, 2008.