全球智库信息集成服务系统(G2TT): Characterization and Control of Conservative and Non-conservative Network Dynamics.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.ifacsc.2018.07.002
	Characterization and Control of Conservative and Non-conservative Network Dynamics.
	Wildemeersch Matthias; Ronald Chan Wai Hong; Rovenskaya Elena; Quek Tony QS
发表日期	2018
出处	IFAC Journal of Systems and Control 5: 22-29
出版年	2018
语种	英语
摘要	Diffusion processes are instrumental to describe the movement of a continuous quantity in a network of interacting agents. Here, we present a framework for diffusion in networks and study in particular two classes of agent interactions depending on whether the total network quantity follows a conservation law. Focusing on probabilistic, asymmetric interactions between agents, we define how the dynamics of conservative and non-conservative networks relate to the weighted in-degree and out-degree Laplacians. For uncontrolled networks, we compare the convergence behavior of both types of networks as a function of the eigenvectors of the weighted graph Laplacians. For networks with exogenous controls, we also analyze convergence and provide a method to measure the difference between conservative and non-conservative network dynamics based on the comparison of their respective reachable sets. The presented network control framework enables the comparative study of the dynamic and asymptotic network behavior for conservative and non-conservative networks.
主题	Advanced Systems Analysis (ASA) ; Ecosystems Services and Management (ESM)
关键词	Multi-agent networks Diffusion process Directed graphs Graph Laplacian Network control Reachable set
URL	http://pure.iiasa.ac.at/id/eprint/15410/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131513
推荐引用方式 GB/T 7714	Wildemeersch Matthias,Ronald Chan Wai Hong,Rovenskaya Elena,et al. Characterization and Control of Conservative and Non-conservative Network Dynamics.. 2018.