Disturbance Attenuating Controller Design for a Class of Nonlinear Systems with Unknown Time-Delay

Authors:
Geng Ji
Affiliations:
School of Mathematics and Information Engineering, Taizhou University, Linhai, P.R. China 317000
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Year:
2008

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Abstract

An adaptive neural network control design approach is proposed for a class of nonlinear systems with unknown time delay. By constructing a proper Lyapunov-Krasoviskii functional, the uncertainty of unknown time-delay is compensated. In addition, the semiglobally input-to-state practically stable (ISpS) disturbance attenuation problem is solved by neural network technique. The feasibility of neural network approximation of unknown system functions is guaranteed over practical compact set. Finally, a numerical simulation is given to show the effectiveness of the approach.