{"title":"Cooperative Output Regulation of Heterogeneous Systems With Actuator Faults: A Double-Layer Event-Triggered Approach","authors":"Guanglei Zhao;Yapeng Liu;Changchun Hua;Hailong Cui;Weili Ding","doi":"10.1109/TSMC.2026.3655078","DOIUrl":null,"url":null,"abstract":"This work addresses the cooperative output regulation (COR) problem of heterogeneous multiagent systems (MASs) subject to actuator faults. First, a novel double-layer event-triggering mechanism (DLETM) is proposed, with appropriately constructed first-layer and second-layer triggering conditions, and allows communication events only at the second-layer’s triggering instants; it ensures that the communication frequency is reduced compared with the existing single-layer event-triggering mechanism (ETM). Then, a double-layer event-triggered (DLET) observer is designed to estimate the exosystem’s matrix with explicit minimum triggering interval (MTI), and an adaptive DLET observer is further developed to estimate the exosystem’s state, such that strong Zeno-freeness is ensured while global topology information is not required to implement the DLET observer. The introduction of the second-layer ETM brings a challenge for stability analysis and DLETM design. To solve this issue, a novel anti-trigonometric function term is added into Lyapunov function with well-designed internal adaptive variables. Moreover, an adaptive control law is designed to handle actuator faults, which ensures that the regulated output converges to zero, whereas most existing methods only ensure bounded error. Finally, simulation results confirm the effectiveness of the proposed approach.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 5","pages":"3060-3074"},"PeriodicalIF":8.4000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11373143/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This work addresses the cooperative output regulation (COR) problem of heterogeneous multiagent systems (MASs) subject to actuator faults. First, a novel double-layer event-triggering mechanism (DLETM) is proposed, with appropriately constructed first-layer and second-layer triggering conditions, and allows communication events only at the second-layer’s triggering instants; it ensures that the communication frequency is reduced compared with the existing single-layer event-triggering mechanism (ETM). Then, a double-layer event-triggered (DLET) observer is designed to estimate the exosystem’s matrix with explicit minimum triggering interval (MTI), and an adaptive DLET observer is further developed to estimate the exosystem’s state, such that strong Zeno-freeness is ensured while global topology information is not required to implement the DLET observer. The introduction of the second-layer ETM brings a challenge for stability analysis and DLETM design. To solve this issue, a novel anti-trigonometric function term is added into Lyapunov function with well-designed internal adaptive variables. Moreover, an adaptive control law is designed to handle actuator faults, which ensures that the regulated output converges to zero, whereas most existing methods only ensure bounded error. Finally, simulation results confirm the effectiveness of the proposed approach.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.