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|Title:||Adaptive neural network control of helicopters with unknown dynamics||Authors:||Ge, S.S.
|Issue Date:||2006||Citation:||Ge, S.S.,Ren, B.,Tee, K.P. (2006). Adaptive neural network control of helicopters with unknown dynamics. Proceedings of the IEEE Conference on Decision and Control : 3022-3027. ScholarBank@NUS Repository.||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. © 2006 IEEE.||Source Title:||Proceedings of the IEEE Conference on Decision and Control||URI:||http://scholarbank.nus.edu.sg/handle/10635/69200||ISBN:||1424401712||ISSN:||01912216|
|Appears in Collections:||Staff Publications|
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