{"title":"时空耦合系数变化的2 × 2线性双曲偏微分方程的事件触发增益调度","authors":"Nicolas Espitia , Jean Auriol","doi":"10.1016/j.automatica.2025.112455","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we address the problem of exponential stabilization of 2 × 2 hyperbolic PDEs systems with time- and space-varying in-domain coupling coefficients using event-triggered gain scheduling. More precisely, at each triggering time, we apply the control input as the classical static backstepping control law while scheduling the gains of the boundary controller according to the triggering mechanism and by solely considering the spatial variation of the coefficients. We present two different event-triggered gain scheduling strategies. The first strategy relies on a Lyapunov-based event-triggering condition, and the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> closed-loop exponential stability is shown using a Lyapunov analysis. The second one is a small-gain based event-triggering condition and builds on the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>∞</mi></mrow></msup></math></span>-norm. The <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>∞</mi></mrow></msup></math></span> closed-loop exponential stability is shown by combining ISS estimates with small-gain arguments. In both cases, we prove that we avoid the Zeno phenomenon, provided that the coupling coefficients are slowly time-varying. Unlike existing results in the literature, the proposed approaches do not require solving time-varying backstepping kernel equations in real-time resulting in reduced computational burden and broader applicability.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112455"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-triggered gain scheduling of 2 × 2 linear hyperbolic PDEs with time and space varying coupling coefficients\",\"authors\":\"Nicolas Espitia , Jean Auriol\",\"doi\":\"10.1016/j.automatica.2025.112455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we address the problem of exponential stabilization of 2 × 2 hyperbolic PDEs systems with time- and space-varying in-domain coupling coefficients using event-triggered gain scheduling. More precisely, at each triggering time, we apply the control input as the classical static backstepping control law while scheduling the gains of the boundary controller according to the triggering mechanism and by solely considering the spatial variation of the coefficients. We present two different event-triggered gain scheduling strategies. The first strategy relies on a Lyapunov-based event-triggering condition, and the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> closed-loop exponential stability is shown using a Lyapunov analysis. The second one is a small-gain based event-triggering condition and builds on the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>∞</mi></mrow></msup></math></span>-norm. The <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>∞</mi></mrow></msup></math></span> closed-loop exponential stability is shown by combining ISS estimates with small-gain arguments. In both cases, we prove that we avoid the Zeno phenomenon, provided that the coupling coefficients are slowly time-varying. Unlike existing results in the literature, the proposed approaches do not require solving time-varying backstepping kernel equations in real-time resulting in reduced computational burden and broader applicability.</div></div>\",\"PeriodicalId\":55413,\"journal\":{\"name\":\"Automatica\",\"volume\":\"179 \",\"pages\":\"Article 112455\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-06-20\",\"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/S0005109825003498\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825003498","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}
Event-triggered gain scheduling of 2 × 2 linear hyperbolic PDEs with time and space varying coupling coefficients
In this paper, we address the problem of exponential stabilization of 2 × 2 hyperbolic PDEs systems with time- and space-varying in-domain coupling coefficients using event-triggered gain scheduling. More precisely, at each triggering time, we apply the control input as the classical static backstepping control law while scheduling the gains of the boundary controller according to the triggering mechanism and by solely considering the spatial variation of the coefficients. We present two different event-triggered gain scheduling strategies. The first strategy relies on a Lyapunov-based event-triggering condition, and the closed-loop exponential stability is shown using a Lyapunov analysis. The second one is a small-gain based event-triggering condition and builds on the -norm. The closed-loop exponential stability is shown by combining ISS estimates with small-gain arguments. In both cases, we prove that we avoid the Zeno phenomenon, provided that the coupling coefficients are slowly time-varying. Unlike existing results in the literature, the proposed approaches do not require solving time-varying backstepping kernel equations in real-time resulting in reduced computational burden and broader applicability.
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.