{"title":"Fixed-time consensus of nonlinear multi-agent systems via both event-triggered intermittent communication and sampled-data control","authors":"Haijuan Liu , Zhiyong Yu , Haijun Jiang","doi":"10.1016/j.cnsns.2024.108391","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the fixed-time (FXT) consensus issue for nonlinear multi-agent systems (MASs) via both event-triggered intermittent communication and sampled-data control. Firstly, combining the event-triggered mechanism and the centralized sampled-data control method, a new type of the event-triggered intermittent control protocol is devised, in which the auxiliary function is introduced to determine the control intervals of the protocol. Secondly, the centralized strategy, which requires obtaining the global information, may be difficult to apply in large-scale networks. Therefore, we design an intermittent communication protocol with the distributed sampled-data control strategy, in which the event-triggering condition is given only by using local neighbors’ states. Furthermore, based on the Lyapunov stability theory, some sufficient conditions are obtained for achieving FXT consensus of MASs with the centralized and distributed sampled-data control strategies, and the Zeno phenomena are avoided. Finally, two examples are provided to verify the validity of the theoretical results.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570424005768","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates the fixed-time (FXT) consensus issue for nonlinear multi-agent systems (MASs) via both event-triggered intermittent communication and sampled-data control. Firstly, combining the event-triggered mechanism and the centralized sampled-data control method, a new type of the event-triggered intermittent control protocol is devised, in which the auxiliary function is introduced to determine the control intervals of the protocol. Secondly, the centralized strategy, which requires obtaining the global information, may be difficult to apply in large-scale networks. Therefore, we design an intermittent communication protocol with the distributed sampled-data control strategy, in which the event-triggering condition is given only by using local neighbors’ states. Furthermore, based on the Lyapunov stability theory, some sufficient conditions are obtained for achieving FXT consensus of MASs with the centralized and distributed sampled-data control strategies, and the Zeno phenomena are avoided. Finally, two examples are provided to verify the validity of the theoretical results.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.