Adaptive Neural Network Control of Helicopters with Unknown Dynamics

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 ne...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the 45th IEEE Conference on Decision and Control pp. 3022 - 3027
Main Authors Shuzhi Sam Ge, Beibei Ren, Keng Peng Tee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Adaptive control
Adaptive systems
Aerodynamics
Control system synthesis
Helicopters
Network synthesis
Neural networks
Programmable control
Stability
Uncertainty
Online AccessGet full text

Cover

More Information
Summary: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
ISBN:9781424401710
1424401712
ISSN:0191-2216
DOI:10.1109/CDC.2006.377693