Adaptive Neural Network Control for a Class of Nonlinear Time-Delay Systems
In this paper, a robust adaptive neural network control scheme is presented for a class of strictfeedback nonlinear time-delay systems, with both unknown nonlinearities and uncertain disturbances. To cope with the two types of uncertainties, backstepping methodology with adaptive neural design and nonlinear damping techniques are developed. Unknown smooth function vectors and unknown time-delay functions are approximated by two neural networks, respectively. Furthermore, by using appropriate LyapunovKrasovskii functional, all signals in the closed loop system are guaranteed to be semiglobally uniformly ultimately bounded and the output of the system is proved to converge to a small neighborhood of the desired trajectory. Finally, simulation result is presented to show the effectiveness of the approach.
Xuekun Liu Geng Ji Guopeng Zhou
Department of Mathematics Xianning College Xianning, 437005,China School of Mathematics and Information Engineering Taizhou University Linhai, 317000, China Department of Mathematics Xianning College Xianning, 437005, China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）