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|Title:||Adaptive neural network control for strict-feedback nonlinear systems using backstepping design|
|Citation:||Zhang, Tao,Ge, S.S.,Hang, C.C. (1999). Adaptive neural network control for strict-feedback nonlinear systems using backstepping design. Proceedings of the American Control Conference 2 : 1062-1066. ScholarBank@NUS Repository.|
|Abstract:||This paper focuses on the adaptive control problem of strict-feedback nonlinear systems using multilayer neural networks (MNNs). By introducing a modified Lyapunov function, a smooth and singularity-free adaptive controller is firstly designed for a first-order plant. Then, an extension is made to high-order nonlinear systems using backstepping design. The developed control scheme guarantees the uniform ultimate boundedness of the closed-loop adaptive systems. The relationship between the transient performance and the design parameters is given to guide the tuning of the controller.|
|Source Title:||Proceedings of the American Control Conference|
|Appears in Collections:||Staff Publications|
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