Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems  

作　　者：Chen Weisheng Li Junmin 

机构地区：[1]Dept. of Applied Mathematics, Xidian Univ. , Xi'an 710071, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2006年第3期611-618,共8页系统工程与电子技术（英文版）

基　　金：This project was supported by the National Natural Science Foundation of China (69974028 ;60374015)

摘　　要：For a class of unknown nonlinear time-delay systems, an adaptive neural network （NN） control design approach is proposed. Backstepping, domination and adaptive bounding design technique are combined to construct a robust memoryless adaptive NN tracking controller. Unknown time-delay functions are approximated by NNs, such that the requirement on the nonlinear time-delay functions is relaxed. Based on Lyapunov-Krasoviskii functional, the sem-global uniformly ultimately boundedness （UUB） of all the signals in the closed-loop system is proved. The arbitrary output tracking accuracy is achieved by tuning the design parameters. The feasibility is investigated by an illustrative simulation example.For a class of unknown nonlinear time-delay systems, an adaptive neural network （NN） control design approach is proposed. Backstepping, domination and adaptive bounding design technique are combined to construct a robust memoryless adaptive NN tracking controller. Unknown time-delay functions are approximated by NNs, such that the requirement on the nonlinear time-delay functions is relaxed. Based on Lyapunov-Krasoviskii functional, the sem-global uniformly ultimately boundedness （UUB） of all the signals in the closed-loop system is proved. The arbitrary output tracking accuracy is achieved by tuning the design parameters. The feasibility is investigated by an illustrative simulation example.

关 键 词：nonlinear time-delay system neural network adaptive bounding technique memoryless adaptive NN controller. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]