{"title":"Robust finite-time input-to-state stability via impulsive hybrid control for uncertain dynamical systems with disturbances","authors":"Bin Liu , Meng-Ge Li , Ya-Dan Shi , Dong-Nan Liu","doi":"10.1016/j.isatra.2025.02.021","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the robust finite-time input-to-state stability (R-FT-ISS) including robust finite-time stability (R-FTS) via impulsive hybrid control (IHC) for uncertain dynamical systems (UDS) with disturbances. The notions of robust <span><math><mi>GKL</mi></math></span>-stability, R-FT-ISS, and R-FTS are proposed. Time-based IHC (T-IHC) and state-based IHC (S-IHC) are proposed, respectively. And based on the Hamilton–Jacobi inequalities of Lyapunov-like functions, less restrictive R-FT-ISS and R-FTS criteria are established for UDS under IHC (including T-IHC and S-IHC). And the event-triggered S-IHC schemes for R-FT-ISS and R-FTS are designed. Correspondingly, the estimates of settling time for R-FT-ISS and R-FTS are also obtained, respectively. Theoretical results and numerical simulations show that both T-IHC and S-IHC can achieve not only R-FT-ISS but also R-FTS for unstable systems with structural disturbances and external disturbances. Therefore, IHC (including T-IHC and S-IHC) can eliminate the impact on stability from disturbances and thus both T-IHC and S-IHC are anti-disturbance and robust, which improves the stabilization only to ISS (not to asymptotic stability) in the presence of disturbance in the literature. It is also shown that R-FT-ISS and R-FTS can be achieved by pure impulsive control, which improves the FTS results of impulsive systems in the literature. Moreover, compared with T-IHC, S-IHC has less number of impulses and lower cost than T-IHC while T-IHC has smaller settling time.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"160 ","pages":"Pages 97-110"},"PeriodicalIF":6.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825001119","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper studies the robust finite-time input-to-state stability (R-FT-ISS) including robust finite-time stability (R-FTS) via impulsive hybrid control (IHC) for uncertain dynamical systems (UDS) with disturbances. The notions of robust -stability, R-FT-ISS, and R-FTS are proposed. Time-based IHC (T-IHC) and state-based IHC (S-IHC) are proposed, respectively. And based on the Hamilton–Jacobi inequalities of Lyapunov-like functions, less restrictive R-FT-ISS and R-FTS criteria are established for UDS under IHC (including T-IHC and S-IHC). And the event-triggered S-IHC schemes for R-FT-ISS and R-FTS are designed. Correspondingly, the estimates of settling time for R-FT-ISS and R-FTS are also obtained, respectively. Theoretical results and numerical simulations show that both T-IHC and S-IHC can achieve not only R-FT-ISS but also R-FTS for unstable systems with structural disturbances and external disturbances. Therefore, IHC (including T-IHC and S-IHC) can eliminate the impact on stability from disturbances and thus both T-IHC and S-IHC are anti-disturbance and robust, which improves the stabilization only to ISS (not to asymptotic stability) in the presence of disturbance in the literature. It is also shown that R-FT-ISS and R-FTS can be achieved by pure impulsive control, which improves the FTS results of impulsive systems in the literature. Moreover, compared with T-IHC, S-IHC has less number of impulses and lower cost than T-IHC while T-IHC has smaller settling time.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.