TY - GEN
T1 - Neural learning control
AU - Wang, Cong
AU - Hill, David J.
AU - Chen, Guanrong
PY - 2004
Y1 - 2004
N2 - This paper studies neural learning control. Based on an earlier result for deterministic learning of unknown system dynamics from a stable control process, this paper provides detailed analysis on how the learned knowledge can be effectively exploited to achieve stability and unproved control performance. Comparisons on neural learning control with adaptive neural control and linear control are also included. The effectiveness of the neural learning control approach is demonstrated using simulations.
AB - This paper studies neural learning control. Based on an earlier result for deterministic learning of unknown system dynamics from a stable control process, this paper provides detailed analysis on how the learned knowledge can be effectively exploited to achieve stability and unproved control performance. Comparisons on neural learning control with adaptive neural control and linear control are also included. The effectiveness of the neural learning control approach is demonstrated using simulations.
UR - https://www.scopus.com/pages/publications/4444370242
UR - https://www.scopus.com/pages/publications/4444370242#tab=impact
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 3
SP - 2666
EP - 2670
BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
T2 - 5th World Congress on Intelligent Control and Automation, WCICA 2004
Y2 - 15 June 2004 through 19 June 2004
ER -