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Robust Adaptive Tracking Control of a Class of Uncertain Multi-Mode Nonlinear Systems with Unknown Disturbances

机译:一类不确定多模非线性系统的鲁棒自适应跟踪控制,具有未知干扰

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This paper studies robust adaptive tracking control for a family of multi-mode nonlinear systems. Adaptive laws using tuning functions are proposed to address the parametric uncertainties and unknown disturbances, which can avoid the problem of over-parameterization. In addition, the variation law of the modes is developed based on the mode-dependent sojourn time scheme, which exploits the information of each subsystem, i.e., sojourn time is realized in a subsystem sense. Based on the proposed time-constraint scheme, variation signals that are less conservative than those based on sojourn time are designed. Globally uniformly ultimately bounded stability of the closed-loop multi-mode system is guaranteed. Furthermore, the steady-state performance characterized by an ultimate bound of the tracking error is presented. A numerical simulation demonstrates the effectiveness of the proposed method.
机译:本文研究了一种多模非线性系统系列的强大自适应跟踪控制。建议使用调谐功能的自适应法律来解决参数的不确定性和未知干扰,这可以避免过参数化的问题。此外,基于模式依赖的索记时间方案开发了模式的变化定律,该时间方案利用每个子系统的信息,即,在子系统中实现了苏姆纳时间。基于所提出的时间约束方案,设计了比基于Sojourn时间的保守的变化信号。保证全球均匀最终偏置闭环多模式系统的稳定性。此外,提出了一种稳态性能,其特征在于跟踪误差的最终界限。数值模拟显示了所提出的方法的有效性。

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