For a finite number of agents evolving on a Euclidean space and linked to each other by a connected graph, the Laplacian flow that is based on the inter-agent errors, ensures consensus or synchronization for both first and second-order dynamics. When such agents evolve on a circle (the Kuramoto oscillator), the flow that depends on the sinusoid of the inter-agent error angles generalizes the same. In this work, it is shown that the Laplacian flow and the Kuramoto oscillator are special cases of a more general theory of consensus on Lie groups that admit bi-invariant metrics. Such a theory not only enables generalization of these consensus and synchronization algorithms to Lie groups but also provide insight on to the abstract group theoretic and differential geometric properties that ensures convergence in Euclidean space and the circle.
Gain-scheduled synchronization of parameter varying systems via relative $H_\infty$ consensus with application to synchronization of uncertain bilinear systems
School of Engineering and IT, University of New South Wales(新南威尔士大学工程与信息技术学院)
Consensus and synchronization in discrete-time networks of multi-agents with stochastically switching topologies and time delays
Fudan University(复旦大学);Max Planck Institute for Mathematics in the Sciences(马克斯·普朗克科学促进部数理研究所);Santa Fe Institute for the Sciences of Complexity(圣塔菲复杂性科学研究所)
Distributed Safe Consensus Under Asymmetric Input and Time-Varying Output Constraints
Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab, Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati(智能系统引导、自主、学习与控制实验室,航空航天工程与工程力学系,辛辛那提大学);Intelligent Systems and Control (ISaC) Lab, Department of Aerospace Engineering, Indian Institute of Technology Bombay(智能系统与控制实验室,航空航天工程系,印度班加罗尔理工学院)
Data Rate for Distributed Consensus of Multi-agent Systems with High Order Oscillator Dynamics
School of Electrical and Electronic Engineering, Nanyang Technological University(南洋理工大学电气与电子工程学院);Key Laboratory of Systems and Control, Institute of Systems Science, Chinese Academy of Sciences(中国科学院系统科学研究所系统与控制系统重点实验室)