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Adaptive and Robust Predictors for Multi-input Linear Systems with Distributed Delays
SIAM Journal on Control and Optimization ( IF 2.2 ) Pub Date : 2020-11-19 , DOI: 10.1137/19m1266484
Yang Zhu , Miroslav Krstic

SIAM Journal on Control and Optimization, Volume 58, Issue 6, Page 3457-3485, January 2020.
This paper presents a systematic predictor method to stabilize uncertain multi-input linear systems with different distributed input delays. Multi-input linear plants with distributed actuator delays come with five types of uncertainties: unknown and distinct delays in multi-input control channels, unknown delay kernels, unknown plant parameters in the system matrix, unmeasurable finite-dimensional plant states, and unmeasurable infinite-dimensional actuator states. In the paper, we address three combinations of the five uncertainties above, which is the most relevant subset among the important problems in predictor-based control.


中文翻译:

具有分布时滞的多输入线性系统的自适应鲁棒预测器

SIAM控制与优化杂志,第58卷,第6期,第3457-3485页,2020年1月。
本文提出了一种系统预测器方法,用于稳定具有不同分布式输入延迟的不确定多输入线性系统。具有分布式执行器延迟的多输入线性设备具有五种类型的不确定性:多输入控制通道中的未知和不同延迟,未知延迟内核,系统矩阵中的未知设备参数,不可测的有限维设备状态以及不可测量的无限大设备。尺寸执行器状态。在本文中,我们讨论了上述五个不确定性的三个组合,这是基于预测变量的控制中重要问题中最相关的子集。
更新日期:2020-11-21
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