Analysis and control of complex interconnected systems

复杂互连系统的分析与控制

• 批准号: 418501-2012
• 负责人: Scardovi, Luca
• 金额: $ 1.68万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573690
• 关键词: Analysis; control; complex; interconnected; systems

We propose a research effort to analyze and control complex interconnected systems. Characteristics common to complex systems are the large number of interacting elements, the non-linearity of these interactions, and resulting aggregate or emergent phenomena observed within and across multiple scales. Analysis of complex networked systems has been an active field of research across multiple disciplines but unifying principles that enable modeling, prediction, and control of emergent behavior in complex systems are still at an embryonic stage. Our main goal is to develop principles and methodologies for understanding how emergent behavior arises from the interaction of coupled dynamical systems and how to control it. Future applications range from the domain of biological networks to the domain of complex man-made systems and include closed loop control of neuronal synchronization, analysis and control of synthetic biological circuits, coordination in autonomous sensing networks, control of smart grids amongst others.

我们提出了一个研究工作，分析和控制复杂的互联系统。复杂系统的共同特征是大量相互作用的元素，这些相互作用的非线性，以及在多个尺度内和跨多个尺度观察到的聚合或涌现现象。复杂网络系统的分析一直是跨多个学科的活跃研究领域，但使建模，预测和控制复杂系统中的紧急行为的统一原则仍处于萌芽阶段。我们的主要目标是发展原则和方法，了解如何涌现的行为产生的相互作用的耦合动力系统，以及如何控制它。未来的应用范围从生物网络领域的复杂人造系统的领域，包括闭环控制的神经元同步，分析和控制合成生物电路，协调自主传感网络，控制智能电网等。