Necessary and Sufficient Conditions for Data-Driven Model Reference Control

IF 7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automatic Control Pub Date : 2024-11-04 DOI:10.1109/TAC.2024.3490669
Jiwei Wang;Simone Baldi;Henk J. van Waarde
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Abstract

The objective of model reference control is to design a controller that regulates the system's behavior so as to match a specified reference model. This article investigates necessary and sufficient conditions for model reference control from a data-driven perspective, when only a set of data generated by the system is utilized to directly accomplish the matching. Noiseless and noisy data settings are both considered. Notably, all methods we propose build on the concept of data informativity and do not rely on persistently exciting data.
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数据驱动模型参考控制的必要条件和充分条件
模型参考控制的目标是设计一个控制器来调节系统的行为,使其与指定的参考模型相匹配。本文从数据驱动的角度研究了仅利用系统生成的一组数据直接完成匹配时模型参考控制的充分必要条件。无噪声和有噪声的数据设置都被考虑。值得注意的是,我们提出的所有方法都建立在数据信息性的概念之上,而不依赖于持续令人兴奋的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Automatic Control
IEEE Transactions on Automatic Control 工程技术-工程:电子与电气
CiteScore
11.30
自引率
5.90%
发文量
824
审稿时长
9 months
期刊介绍: In the IEEE Transactions on Automatic Control, the IEEE Control Systems Society publishes high-quality papers on the theory, design, and applications of control engineering. Two types of contributions are regularly considered: 1) Papers: Presentation of significant research, development, or application of control concepts. 2) Technical Notes and Correspondence: Brief technical notes, comments on published areas or established control topics, corrections to papers and notes published in the Transactions. In addition, special papers (tutorials, surveys, and perspectives on the theory and applications of control systems topics) are solicited.
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