Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients.
In this paper, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping design method is able to guarantee semiglobal uniformly ultimately boundedness of all the signals in the closed-loop. In addition, the output of the system is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.
Ge
Shuzhi Sam
SS
Department of Electrical and Computer Engineering, National University of Singapore. elegesz@nus.edu.sg
Hong
Fan
F
Lee
Tong Heng
TH