{"title":"Finite-Time Event-Triggered Control for Switched Affine Time-Delay Cyber-Physical Systems With Asynchronous Switching","authors":"Hao Xu;Hongsheng Hu","doi":"10.1109/TICPS.2026.3654484","DOIUrl":null,"url":null,"abstract":"For industrial cyber-physical systems (CPSs), which integrate sensors, actuators, computational units, and communication networks to monitor and control critical industrial processes, achieving high efficiency, safety, and real-time performance is of utmost importance. This paper investigates finite-time event-triggered control for switched affine time-delay CPSs under average dwell-time constraints, aiming to resolve controller-system mismatches induced by switching during trigger intervals and to allocate communication resources efficiently. Firstly, an event-triggered mechanism (ETM) incorporating multiple parameter matrices is developed. Unlike conventional designs, the proposed framework accommodates subsystem switching within inter-trigger intervals, ensuring stability despite plant-controller asynchrony. Under the ETM, the co-design of a delay-compensating switching signal and an adaptive state feedback controller through parameter-dependent matrix formulations, are presented. Furthermore, leveraging Lyapunov-Krasovskii functional theory, sufficient stability criteria are established through linear matrix inequalities (LMIs), ensuring finite-time stability (FTS), finite-time boundedness (FTB), and predefined disturbance attenuation levels under average dwell-time restrictions. The Zeno-free execution of triggering sequences are rigorously verified. Experimental results on a DC-DC boost converter verify the correctness of the proposed method, demonstrating that the considered system achieves finite-time convergence even in the presence of affine nonlinearities and external disturbances.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"94-105"},"PeriodicalIF":7.4000,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11355646/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
For industrial cyber-physical systems (CPSs), which integrate sensors, actuators, computational units, and communication networks to monitor and control critical industrial processes, achieving high efficiency, safety, and real-time performance is of utmost importance. This paper investigates finite-time event-triggered control for switched affine time-delay CPSs under average dwell-time constraints, aiming to resolve controller-system mismatches induced by switching during trigger intervals and to allocate communication resources efficiently. Firstly, an event-triggered mechanism (ETM) incorporating multiple parameter matrices is developed. Unlike conventional designs, the proposed framework accommodates subsystem switching within inter-trigger intervals, ensuring stability despite plant-controller asynchrony. Under the ETM, the co-design of a delay-compensating switching signal and an adaptive state feedback controller through parameter-dependent matrix formulations, are presented. Furthermore, leveraging Lyapunov-Krasovskii functional theory, sufficient stability criteria are established through linear matrix inequalities (LMIs), ensuring finite-time stability (FTS), finite-time boundedness (FTB), and predefined disturbance attenuation levels under average dwell-time restrictions. The Zeno-free execution of triggering sequences are rigorously verified. Experimental results on a DC-DC boost converter verify the correctness of the proposed method, demonstrating that the considered system achieves finite-time convergence even in the presence of affine nonlinearities and external disturbances.