TY - GEN
T1 - Adaptive neural control for a class of nonlinearly parametric time-delay systems
T2 - Proceedings of the 4th World Congress on Intelligent Control and Automation
AU - Ho, D. W C
AU - Li, Junmin
PY - 2002
Y1 - 2002
N2 - In this paper, an adaptive neural controller for a class of first-order time-delay nonlinear systems with unknown nonlinearities is proposed. Based on WNN (Wavelet Neural Network) on-line approximation model, a state-feedback adaptive controller is obtained by constructing an novel integral-type Lyapunov-Krasovskii functional. The key assumption is that the time-delay term of the systems satisfies a certain inequality condition. The proposed method guarantees semi-global uniform ultimate boundedness for the adaptive closed-loop systems. An example is provided to illustrate the application of the approach.
AB - In this paper, an adaptive neural controller for a class of first-order time-delay nonlinear systems with unknown nonlinearities is proposed. Based on WNN (Wavelet Neural Network) on-line approximation model, a state-feedback adaptive controller is obtained by constructing an novel integral-type Lyapunov-Krasovskii functional. The key assumption is that the time-delay term of the systems satisfies a certain inequality condition. The proposed method guarantees semi-global uniform ultimate boundedness for the adaptive closed-loop systems. An example is provided to illustrate the application of the approach.
UR - https://www.scopus.com/pages/publications/0036955286
UR - https://www.scopus.com/pages/publications/0036955286#tab=impact
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 4
SP - 3304
EP - 3308
BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Y2 - 10 June 2002 through 14 June 2002
ER -