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Adaptive Tracking Control of Switched Linear Systems Using Mode-Dependent Average Dwell Time

机译：使用模式依赖平均停留时间的开关线性系统的自适应跟踪控制

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This paper studies model reference adaptive control for switched linear systems with large parametric uncertainties. An aggregate leakage approach is proposed to develop a novel adaptive law, which overcomes the state-of-the-art assumption of knowing the upper and lower bounds of the parameter uncertainty. In addition, a switching law is developed based on mode-dependent average dwell time scheme, which exploits the information of the known reference model for every subsystem, i.e., average dwell time is realized in a subsystem sense. Based on the proposed time-constraint scheme, switching signals that are less conservative than those based on dwell time and average dwell time can be designed. Global uniform ultimate boundedness of the closed-loop adaptive switched system is guaranteed. Furthermore, the tracking error is shown to be upper bounded and also an ultimate bound is presented. Simulations using NASA GTM aircraft illustrate the proposed method.
机译：本文研究了具有大参数不确定性的开关线性系统的参考自适应控制。提出了一种汇总泄漏方法来制定新的自适应法，该法律克服了了解参数不确定性的上下界的最先进的假设。此外，基于模式相关的平均停留时间方案开发了交换规律，其利用每个子系统的已知参考模型的信息，即，在子系统中实现了平均停留时间。基于所提出的时间约束方案，可以设计比基于停留时间和平均停留时间的保守的切换信号。保证了闭环自适应交换系统的全局统一终极界限。此外，跟踪误差被示出为上限，并且还提出了最终的绑定。使用NASA GTM飞机模拟说明了所提出的方法。

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