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A Predictor-Based Model Reference Adaptive Controller for Time-Delay Systems

机译:时滞系统的基于预测器的模型参考自适应控制器

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摘要

This paper presents novel modifications to a predictor-based model reference adaptive controller (PMRAC) to compensate for input delays in uncertain nonlinear systems. A delay-dependent stability condition, derived using a Lyapunov–Krasovskii functional, indicates that there exists a time delay margin, below which the asymptotic stability of the tracking and estimation errors as well as the input-to-state stability of the closed-loop system are guaranteed. Numerical experiments are carried out with comparisons to the original PMRAC and to a finite spectrum assignment scheme to validate the theoretical claims. The results also illustrate the effectiveness of the proposed delay compensation formulation and the asymptotic behaviors of the tracking and estimation errors.
机译:本文提出了对基于预测变量的模型参考自适应控制器(PMRAC)的新颖修改,以补偿不确定非线性系统中的输入延迟。使用Lyapunov–Krasovskii泛函推导的依赖于延迟的稳定性条件,表明存在一个时延裕度,在该裕度以下,跟踪和估计误差的渐近稳定性以及闭环的输入状态稳定性系统得到保证。通过与原始PMRAC和有限频谱分配方案进行比较,进行了数值实验,以验证理论要求。结果还说明了所提出的延迟补偿公式的有效性以及跟踪和估计误差的渐近行为。

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