On Synchronization of Dynamical Systems Over Directed Switching Topologies: An Algebraic and Geometric Perspective

同步(交流) 网络拓扑 线性子空间 拓扑(电路) 子空间拓扑 动力系统理论 歧管(流体力学) 代数连通性 数学 趋同(经济学) 非线性系统 计算机科学 控制理论(社会学) 理论计算机科学 纯数学 拉普拉斯矩阵 数学分析 物理 组合数学 量子力学 操作系统 机械工程 图形 控制(管理) 人工智能 工程类 经济 经济增长
作者
Jiahu Qin,Qichao Ma,Xinghuo Yu,Long Wang
出处
期刊:IEEE Transactions on Automatic Control [Institute of Electrical and Electronics Engineers]
卷期号:65 (12): 5083-5098 被引量:81
标识
DOI:10.1109/tac.2020.2971980
摘要

In this article, we aim to investigate the synchronization problem of dynamical systems, which can be of generic linear or Lipschitz nonlinear type, communicating over directed switching network topologies. A mild connectivity assumption on the switching topologies is imposed, which allows them to be directed and jointly connected. We propose a novel analysis framework from both algebraic and geometric perspectives to justify the attractiveness of the synchronization manifold. Specifically, it is proven that the complementary space of the synchronization manifold can be spanned by certain subspaces constructed from the network structure. This allows to project the states of the dynamical systems onto these subspaces and transform the synchronization problem under consideration equivalently into a convergence one of the projected states in each subspace. Then, assuming the joint connectivity condition on the communication topologies, we are able to work out a unified convergence analysis for both types of dynamical systems. More specifically, for partial-state coupled generic linear systems, it is proven that synchronization can be reached if an extra condition, which is easy to verify in several cases, on the system dynamics is satisfied. For Lipschitz nonlinear systems with positive-definite inner coupling matrix, synchronization is realized if the coupling strength is strong enough to stabilize the evolution of the projected states in each subspace under certain conditions. The above claims generalize the existing results concerning both types of dynamical systems to so far the most general framework. Some illustrative examples are provided to verify our theoretical findings.

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