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The problem of adaptive robust stabilization is considered for a class of nonlinear systems with uncertainties which consist of uncertain system parameters and multiple external disturbances. It is supposed that the upper bounds of these uncertainties are unknown. In particular, different from the results reported in the control literature, in this paper the multiple external disturbances are assumed...
In this paper, we propose a new iterative learning control called Switching Gain PD-PD (SPD-PD) Type Iterative Learning Control for trajectory tracking of time varying, nonlinear systems with uncertainty and disturbance. In the developed control scheme a PD feedback control with switching gains on iteration domains and a PD type iterative learning control, based on previous iterations, combines tracking...
An adaptive control algorithm is proposed for output regulation of uncertain nonlinear systems in output feedback form under disturbances generated from nonlinear exosystems. A new nonlinear internal model is proposed to generate the desired input term for suppression of the disturbances. The proposed internal model design is based on boundedness of the disturbance, high gain design and saturation...
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