{"title":"Prescribed performance tracking of uncertain high-order MIMO time-dependent impulsive pure-feedback systems","authors":"Andreas P. Kechagias, George A. Rovithakis","doi":"10.1016/j.automatica.2025.112317","DOIUrl":null,"url":null,"abstract":"<div><div>We consider uncertain, MIMO, high-order, pure-feedback systems, affected by possibly aperiodic, time-dependent impulses at the state. The frequency of the impulsive sequence is bounded, yet the exact impulse time instants are unknown in advance. The proposed control solution is constructive and guarantees convergence of the tracking error to a residual set of pre-selected size, within a predefined fixed-time. Moreover, all signals in the closed-loop are bounded. Furthermore, no approximation structures are utilized, no hard calculations, analytic or numerical, are required to produce the control signal, and the dynamic order of the closed-loop is not extended, thus forming a low-complexity control solution. Simulation results clarify and verify the theoretical findings.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112317"},"PeriodicalIF":4.8000,"publicationDate":"2025-04-15","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/S0005109825002109","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
We consider uncertain, MIMO, high-order, pure-feedback systems, affected by possibly aperiodic, time-dependent impulses at the state. The frequency of the impulsive sequence is bounded, yet the exact impulse time instants are unknown in advance. The proposed control solution is constructive and guarantees convergence of the tracking error to a residual set of pre-selected size, within a predefined fixed-time. Moreover, all signals in the closed-loop are bounded. Furthermore, no approximation structures are utilized, no hard calculations, analytic or numerical, are required to produce the control signal, and the dynamic order of the closed-loop is not extended, thus forming a low-complexity control solution. Simulation results clarify and verify the theoretical findings.
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.