Multiple model switched repetitive control

Multiple model switched repetitive control
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DOI:
10.1109/cdc.2017.8264368
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发表时间:
2017-01
期刊:
2017 IEEE 56th Annual Conference on Decision and Control (CDC)
影响因子:
--
通讯作者:
C. Freeman
C. Freeman
中科院分区:
其他
文献类型:
--
作者:
C. Freeman

文献摘要

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针对一般类型的系统和广泛使用的 RC 更新结构,开发了多模型切换重复控制 (RC) 框架。假设真实的工厂模型属于设计者指定的工厂不确定性集,这保证了稳定性和鲁棒性。基于间隙度量分析在 RC 中的新颖应用,提出了候选模型集和 RC 更新的综合设计过程,并使用一组卡尔曼滤波器有效地实现了相应 RC 方案的切换。
A multiple model switched repetitive control (RC) framework is developed for a general class of system and widely used RC update structure. This guarantees stability and robust performance under the assumption that the true plant model belongs to a plant uncertainty set specified by the designer. A comprehensive design procedure for the candidate model set and RC update is presented based on novel application of gap metric analysis to RC, and switching of the corresponding RC schemes is achieved efficiently using a bank of Kalman filters.