Analysis and control of complex interconnected systems

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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.