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|Title:||Adaptive neural network control for helicopters in vertical flight|
Neural networks (NNs)
|Citation:||Tee, K.P., Ge, S.S., Tay, F.E.H. (2008-07). Adaptive neural network control for helicopters in vertical flight. IEEE Transactions on Control Systems Technology 16 (4) : 753-762. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2007.912242|
|Abstract:||In this brief, robust adaptive neural network (NN) control is presented for helicopters in vertical flight, with dynamics in single-input-single-output (SISO) nonlinear nonaffine form. Based on the use of the implicit function theorem and the mean value theorem, we propose a constructive approach for adaptive NN control design with guaranteed stability. Considering both full-state and output feedback cases, it is shown that the output tracking error converges to a small neighborhood of the origin, while the remaining closed-loop signals remain bounded. The simulation study demonstrates the effectiveness of the proposed control. © 2008 IEEE.|
|Source Title:||IEEE Transactions on Control Systems Technology|
|Appears in Collections:||Staff Publications|
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