{"title":"转换速率部分未知切换拓扑下多智能体饱和输入系统的异构一致性控制器设计","authors":"Ho Sub Lee, Chan-eun Park, PooGyeon Park","doi":"10.1016/j.cnsns.2024.108580","DOIUrl":null,"url":null,"abstract":"This study proposes a heterogeneous consensus controller design for multi-agent saturated-input systems under switching topologies with partly unknown transition rates. This study makes three major contributions. First, multi-agent systems that consider both input saturation and switching topologies are addressed. Although both constraints can occur simultaneously, to the best of knowledge, there are no studies on consensus control for multi-agent saturated-input systems under switching topologies. Second, switching topologies with partly unknown transition rates are considered. This factor can be considered as a more realistic situation. Finally, rather than using a homogeneous consensus controller for all agents, a heterogeneous consensus controller is designed to reflect the topology information fully. The effectiveness of the proposed consensus controller is demonstrated using two numerical examples. The first example demonstrates that a heterogeneous controller derives a considerably wider region of attraction than a homogeneous controller. The second example shows that the proposed controller can stochastically reach a consensus of multi-agent systems.","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"1 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heterogeneous consensus controller design for multi-agent saturated-input systems under switching topologies with partly unknown transition rates\",\"authors\":\"Ho Sub Lee, Chan-eun Park, PooGyeon Park\",\"doi\":\"10.1016/j.cnsns.2024.108580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposes a heterogeneous consensus controller design for multi-agent saturated-input systems under switching topologies with partly unknown transition rates. This study makes three major contributions. First, multi-agent systems that consider both input saturation and switching topologies are addressed. Although both constraints can occur simultaneously, to the best of knowledge, there are no studies on consensus control for multi-agent saturated-input systems under switching topologies. Second, switching topologies with partly unknown transition rates are considered. This factor can be considered as a more realistic situation. Finally, rather than using a homogeneous consensus controller for all agents, a heterogeneous consensus controller is designed to reflect the topology information fully. The effectiveness of the proposed consensus controller is demonstrated using two numerical examples. The first example demonstrates that a heterogeneous controller derives a considerably wider region of attraction than a homogeneous controller. The second example shows that the proposed controller can stochastically reach a consensus of multi-agent systems.\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-01-02\",\"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://doi.org/10.1016/j.cnsns.2024.108580\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1016/j.cnsns.2024.108580","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Heterogeneous consensus controller design for multi-agent saturated-input systems under switching topologies with partly unknown transition rates
This study proposes a heterogeneous consensus controller design for multi-agent saturated-input systems under switching topologies with partly unknown transition rates. This study makes three major contributions. First, multi-agent systems that consider both input saturation and switching topologies are addressed. Although both constraints can occur simultaneously, to the best of knowledge, there are no studies on consensus control for multi-agent saturated-input systems under switching topologies. Second, switching topologies with partly unknown transition rates are considered. This factor can be considered as a more realistic situation. Finally, rather than using a homogeneous consensus controller for all agents, a heterogeneous consensus controller is designed to reflect the topology information fully. The effectiveness of the proposed consensus controller is demonstrated using two numerical examples. The first example demonstrates that a heterogeneous controller derives a considerably wider region of attraction than a homogeneous controller. The second example shows that the proposed controller can stochastically reach a consensus of multi-agent systems.
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.