Adaptive Control of a Class of Incommensurate Fractional Order Nonlinear Systems With Input Dead-Zone

This paper develops a new adaptive control scheme for a class of incommensurate fractional order nonlinear systems with external disturbances and input dead-zone. Based on the backstepping algorithm, the radial basis function neural network (RBF NN) is used to approximate the unknown nonlinear uncer...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.153710-153723
Hauptverfasser:	Wang, Changhui, Liang, Mei, Chai, Yongsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive backstepping control Adaptive control Adaptive systems Algorithms Artificial neural networks Backstepping Closed loops Control systems Control systems design Disturbances Feedback control Fractional order systems input dead-zone Mathematical model Neural networks neural networks (NNs) nonlinear system Nonlinear systems Order parameters Radial basis function Uncertainty
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