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

机译:一类具有未知干扰的不确定多模非线性系统的鲁棒自适应跟踪控制

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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:本文研究了一类多模式非线性系统的鲁棒自适应跟踪控制。提出了使用调整函数的自适应定律来解决参数不确定性和未知干扰,可以避免过参数化的问题。另外,基于依赖于模式的停留时间方案,开发了模式的变化规律,该方案利用了每个子系统的信息,即,在子系统的意义上实现了停留时间。基于提出的时间约束方案,设计了比基于停留时间的变化信号更不保守的变化信号。保证了闭环多模系统的全局统一的最终有界稳定性。此外,提出了以跟踪误差的最终界限为特征的稳态性能。数值模拟表明了该方法的有效性。

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