Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713325 | Journal of Systems Engineering and Electronics | 2006 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Chen Weisheng, Li Junmin,