Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (3): 611-618.doi: 10.1016/S1004-4132(06)60105-9

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

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

Chen Weisheng & Li Junmin   

  1. Dept of Applied Mathematics, Xidian Univ. , Xi'an 710071, P. R China
  • Online:2006-09-25 Published:2019-12-20

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.

Key words: