Necessary and Sufficient Conditions for Data-Driven Model Reference Control

被引：0
|
作者：
Wang, Jiwei [1 ,2 ]
Baldi, Simone [3 ]
van Waarde, Henk J. [2 ]
机构：
[1] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 21118, Peoples R China
[2] Univ Groningen, Bernoulli Inst Math Comp Sci & Artificial Intellig, NL-9747 AG Groningen, Netherlands
[3] Southeast Univ, Sch Math, Nanjing 21118, Peoples R China
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2025年 / 70卷 / 04期
关键词：
Data models; Linear matrix inequalities; Noise measurement; Symmetric matrices; Stability analysis; Closed loop systems; Vectors; Numerical stability; Convergence; Computer science; Data informativity; data-driven control; model reference control (MRC); quadratic matrix inequalities;
D O I：
10.1109/TAC.2024.3490669
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2659 / 2666
页数：8
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