Disturbance attenuating controller design for a class of nonlinear systems with unknown time-delay

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. © 2008 Springer-Verlag Berlin Heidelberg.