Analysis and control of complex interconnected systems

我们提出了一项分析和控制复杂关联系统的研究工作。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，以及由此在多个尺度内和跨尺度观察到的聚集或紧急现象。复杂网络系统的分析一直是跨多学科的一个活跃的研究领域，但能够对复杂系统中的紧急行为进行建模、预测和控制的统一原则仍处于萌芽阶段。我们的主要目标是开发原理和方法，以了解如何从耦合动力系统的相互作用中产生紧急行为，以及如何控制它。未来的应用范围从生物网络领域到复杂人造系统领域，包括神经元同步的闭环控制、合成生物电路的分析和控制、自主传感网络的协调、智能电网的控制等。

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.