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

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Ho Sub Lee , Chan-eun Park , PooGyeon Park
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引用次数: 0

摘要

本文针对切换拓扑下部分未知转换速率的多智能体饱和输入系统,提出了一种异构一致性控制器设计。这项研究有三个主要贡献。首先,讨论了考虑输入饱和和切换拓扑的多智能体系统。虽然这两种约束可以同时发生,但据我所知,目前还没有关于切换拓扑下多智能体饱和输入系统的共识控制的研究。其次,考虑了部分未知转换速率的切换拓扑。这个因素可以被认为是一个更现实的情况。最后,设计了一个异构共识控制器来充分反映拓扑信息,而不是对所有代理使用同构共识控制器。通过两个算例验证了所提共识控制器的有效性。第一个例子表明,异质控制器产生的吸引力区域比同质控制器大得多。第二个例子表明,所提出的控制器可以随机地达到多智能体系统的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
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.
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