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Adaptive control design for nonlinear systems with multiple uncertainties
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摘要
This paper considers the global state-feedback stabilization for a class of nonlinear systems with multiple uncertainties.Different from the existing related literature, the systems under investigation are subjected to unknown input bias, and allow unknown control directions and parametric uncertainties. In this paper, an adaptive state-feedback scheme is proposed, not only to deal with the multiple uncertainties, but also to achieve the global stabilization of the systems. Detailedly, a state-feedback controller is designed by the backstepping approach, where the Nussbaum-type gain approach and estimation-based adaptive technique are incorporated to handle the unknown control directions and parametric uncertainties, respectively. It is shown that all the signals of the resulting closed-loop system are bounded, and the original system states converge to zero. A simulation example on the model of ship steering is given to demonstrate the effectiveness of the theoretical results.
This paper considers the global state-feedback stabilization for a class of nonlinear systems with multiple uncertainties.Different from the existing related literature, the systems under investigation are subjected to unknown input bias, and allow unknown control directions and parametric uncertainties. In this paper, an adaptive state-feedback scheme is proposed, not only to deal with the multiple uncertainties, but also to achieve the global stabilization of the systems. Detailedly, a state-feedback controller is designed by the backstepping approach, where the Nussbaum-type gain approach and estimation-based adaptive technique are incorporated to handle the unknown control directions and parametric uncertainties, respectively. It is shown that all the signals of the resulting closed-loop system are bounded, and the original system states converge to zero. A simulation example on the model of ship steering is given to demonstrate the effectiveness of the theoretical results.
引文
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