Title :
Adaptive Neural Network Control of Helicopters with Unknown Dynamics
Author :
Ge, Shuzhi Sam ; Ren, Beibei ; Tee, Keng Peng
Author_Institution :
Dept. of Electr. & Comput. Eng., Singapore Nat. Univ.
Abstract :
In this paper, adaptive neural network (NN) tracking control is considered for helicopters in the presence of parametric and functional uncertainties. Based on Lyapunov synthesis, the proposed adaptive NN control ensures that the system outputs track the given bounded reference signals to a small neighborhood of zero, and guarantees semiglobal uniformly ultimate boundedness (SGUUB) of all the closed-loop signals. The effectiveness of the proposed control is illustrated through extensive simulations
Keywords :
Lyapunov methods; adaptive control; helicopters; neural nets; Lyapunov synthesis; adaptive neural network tracking control; bounded reference signal; closed-loop signal; functional uncertainty; helicopter; parametric uncertainty; semiglobal uniformly ultimate boundedness; Adaptive control; Adaptive systems; Aerodynamics; Control system synthesis; Helicopters; Network synthesis; Neural networks; Programmable control; Stability; Uncertainty;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.377693
