Tracking control of nonlinear systems with uncertain multiple time delays based on dynamic adaptive neural network
For a class of nonlinear systems with uncertain multiple time delays, a kind of adaptive robust tracking controller is presented in this paper. First, a timedelay compensator as one of the controllers important components is designed based on Lyapunov-Krasovskii function in order to deal with the multiple time delays. Then the other important component, a dynamic adaptive neural network, is introduced to ensure the system stable, which not only has adaptive parameters but has alterable topological structure that the number of hidden units can increase with the tracking error growing. Finally, a given demonstration shows the control scheme is effective in a chaotic system.
tracking control uncertain multiple time delays dynamic adaptive neural network
Zhang Min Hu Shousong
College of Information Science and Control, Nanjing University of Information Science and Technology College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing, 210016
国际会议
长沙
英文
3423-3426
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）