{"title":"L1 adaptive prescribed-time control","authors":"Yongwei Zhu , Shulong Zhao , Jiayi Zheng , Xiangke Wang , Yirui Cong , Zongyu Zuo","doi":"10.1016/j.jfranklin.2026.108436","DOIUrl":null,"url":null,"abstract":"<div><div>This paper develops an <span><math><mrow><msub><mi>L</mi><mn>1</mn></msub></mrow></math></span> adaptive prescribed-time control (PTC) to address external perturbations and uncertainties, where a low-pass filter with time-varying cutoff frequency is proposed. A generalized time-varying scaling function is introduced to achieve prescribed-time control (PTC) and practical prescribed-time control (PPTC). The proposed control strategy innovatively incorporates the design philosophy of <span><math><msub><mi>L</mi><mn>1</mn></msub></math></span> adaptation into PTC to achieve smooth convergence and effective management of external perturbations and uncertainties. The <span><math><mrow><msub><mi>L</mi><mn>1</mn></msub></mrow></math></span> adaptive control framework ensures the capability to achieve PTC by elaborately setting the time-varying cutoff frequency. The proposed method also achieves the uniform distribution of the control energy over the time interval. It reduces the sensitivity of the control energy subject to abnormal initial states or time-varying functions that tend to infinity. Finally, we present numerical simulations and comparisons with existing methods to demonstrate effectiveness and superiority of the proposed <span><math><mrow><msub><mi>L</mi><mn>1</mn></msub></mrow></math></span> adaptive PTC.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"363 4","pages":"Article 108436"},"PeriodicalIF":3.7000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003226000360","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper develops an adaptive prescribed-time control (PTC) to address external perturbations and uncertainties, where a low-pass filter with time-varying cutoff frequency is proposed. A generalized time-varying scaling function is introduced to achieve prescribed-time control (PTC) and practical prescribed-time control (PPTC). The proposed control strategy innovatively incorporates the design philosophy of adaptation into PTC to achieve smooth convergence and effective management of external perturbations and uncertainties. The adaptive control framework ensures the capability to achieve PTC by elaborately setting the time-varying cutoff frequency. The proposed method also achieves the uniform distribution of the control energy over the time interval. It reduces the sensitivity of the control energy subject to abnormal initial states or time-varying functions that tend to infinity. Finally, we present numerical simulations and comparisons with existing methods to demonstrate effectiveness and superiority of the proposed adaptive PTC.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.