2014 14th International Conference on Control, Automation and Systems (ICCAS 2014) 2014
DOI: 10.1109/iccas.2014.6987751 View full text |Buy / Rent full text

Abstract: This paper presents an adaptive sliding mode control for a dual-controlled missile with tail fins and reaction jets. An RBF(Radial Basis Function) neural network is used to adaptively compensate for the uncertainties. The network adaptation rule is derived from Lyapunov stability theory. It is shown that the proposed control design achieves uniformly ultimate boundedness. The proposed controller is demonstrated by nonlinear missile dynamics and it shows a stable response against uncertainty.

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