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A novel adaptive dynamic surface control (DSC) with recursive error surface is proposed for a class of uncertain nonlinear systems in strict-feedback form. The problem of explosion of terms in traditional backstepping design is eliminated by utilizing dynamic surface control. Furthermore, the maximum value of the norm of the ideal weighting vector in neural network (NN) systems is considered as the...
A novel adaptive dynamic surface control (DSC) with prescribed tracking performance is proposed for a class of uncertain nonlinear systems in pure-feedback form. By combining Nussbaum gain function (NGF) with decoupled backstepping, the problems of unknown control directions and control singularity are simultaneously solved. Furthermore, the norm of the ideal weighting vector in neural network (NN)...
A adaptive recursive sliding mode Dynamic Surface Control (DSC) method is proposed for hypersonic vehicle. Based on the hypersonic vehicle model characteristics, the adaptive recursive sliding mode DSC attitude controller and the neural networks dynamic inversion velocity controller are designed, respectively. Via designing recursive sliding mode surface, the tracking error in the preceding step is...
A novel backstepping sliding mode control with guaranteed L∞ tracking performance is proposed for a class of typical uncertain strict-feedback nonlinear systems. Inspired by dynamic surface control, the introduction of a low-pass filter avoids the problem of explosion of terms in traditional backstepping design, and instead of the sign function in the sliding mode controller, a continuously differentiable...
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