Controllability of Complex Networks

复杂网络的可控性

• 批准号: RGPIN-2017-06413
• 负责人: White, Tony
• 金额: $ 1.46万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634696
• 关键词: Controllability; Complex; Networks

A measure of our understanding of naturally occurring or artificial systems can be observed in our ability to control them. One abstract representation of such systems that is increasingly been used for analysis is that of a complex network. Complex networks are found in many domains (e.g., Biology and the Web) and the control of these networks is a research topic that has started to draw increasing research attention. While engineering has provided tools for developing control systems which can force a system to follow a particular state trajectory, no framework exists for control of complex, possibly self-organizing, networks. The main objective of this proposal is to identify conditions under which control is possible in complex networks and develop control solutions for exemplar problems within the domain of network controllability. The novelty of this research is in its exploration of the solution to the interacting problems of deciding which nodes in the network to control and which signals to inject into the selected network nodes in order to achieve a particular time dependent objective.

我们对自然发生或人工系统的理解程度可以从我们控制它们的能力中观察到。越来越多地用于分析的这种系统的一种抽象表示是复杂网络。复杂网络存在于许多领域（例如，生物学和网络）和控制这些网络是一个研究课题，已经开始引起越来越多的研究关注。虽然工程学提供了开发控制系统的工具，可以迫使系统遵循特定的状态轨迹，但不存在控制复杂的、可能自组织的网络的框架。这个建议的主要目标是确定条件下，控制是可能的，在复杂的网络和开发控制解决方案的范例问题的域内的网络可控性。本研究的新奇在于其探索的解决方案，以决定哪些节点在网络中控制和信号注入到选定的网络节点，以实现一个特定的时间相关的目标的相互作用的问题。