Iterative learning control for performance-driven switched systems under all unknown channel gains

IF 5.9 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2025-09-22 DOI:10.1016/j.automatica.2025.112607

Yiwen Qi , Ziyu Qu , Dong Shen

{"title":"Iterative learning control for performance-driven switched systems under all unknown channel gains","authors":"Yiwen Qi , Ziyu Qu , Dong Shen","doi":"10.1016/j.automatica.2025.112607","DOIUrl":null,"url":null,"abstract":"<div><div>Fading channels introduce random and unknown gains into signal transmission, which has a great impact on the accuracy of the transmitted data, thus affecting system stability. However, there are few studies on this regard in the control field. In this paper, the transmission of both feedback and switching signals is affected by the unknown channel gains, which induces severe mode asynchronization in the switched systems under iterative learning control (ILC). For the faded switching signals, by designing a calibration-rounding mechanism (CRM) to recover it, the asynchronous time can gradually decrease with the iteration, and finally the system achieves synchronization, that is calibration-rounding-based iterative synchronization (CRIS). For the faded feedback signals, an improved gain estimation mechanism (IGEM) is given to correct the signal faster with fewer iterations. Moreover, a novel tracking performance-driven switching law (TPD-SL) is proposed to reasonably schedule subsystems for obtaining optimal performance. A set of new average dwell time (ADT) conditions with the minimum synchronization time is obtained. Finally, the effectiveness of the method is verified by numerical simulations.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112607"},"PeriodicalIF":5.9000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825005023","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Fading channels introduce random and unknown gains into signal transmission, which has a great impact on the accuracy of the transmitted data, thus affecting system stability. However, there are few studies on this regard in the control field. In this paper, the transmission of both feedback and switching signals is affected by the unknown channel gains, which induces severe mode asynchronization in the switched systems under iterative learning control (ILC). For the faded switching signals, by designing a calibration-rounding mechanism (CRM) to recover it, the asynchronous time can gradually decrease with the iteration, and finally the system achieves synchronization, that is calibration-rounding-based iterative synchronization (CRIS). For the faded feedback signals, an improved gain estimation mechanism (IGEM) is given to correct the signal faster with fewer iterations. Moreover, a novel tracking performance-driven switching law (TPD-SL) is proposed to reasonably schedule subsystems for obtaining optimal performance. A set of new average dwell time (ADT) conditions with the minimum synchronization time is obtained. Finally, the effectiveness of the method is verified by numerical simulations.

查看原文本刊更多论文

全未知信道增益下性能驱动切换系统的迭代学习控制

衰落信道在信号传输中引入了随机的未知增益，对传输数据的精度有很大的影响，从而影响系统的稳定性。然而，在控制领域，这方面的研究很少。在迭代学习控制（ILC）下，反馈信号和开关信号的传输都受到未知通道增益的影响，从而导致切换系统出现严重的模式异步化。对于衰落的切换信号，通过设计校正舍入机制（CRM）对其进行恢复，使异步时间随着迭代逐渐减小，最终实现系统同步，即基于校正舍入的迭代同步（CRIS）。对于渐弱反馈信号，提出了一种改进的增益估计机制（IGEM），以更少的迭代速度更快地校正信号。此外，提出了一种新的跟踪性能驱动切换律（TPD-SL），以合理调度子系统以获得最优性能。得到了一组新的具有最小同步时间的平均停留时间条件。最后，通过数值仿真验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.