Emiliano Dall'Anese

Collaborative Research: Closed-loop Optimization and Control of Physical Networks Subject to Dynamic Costs, Constraints, and Disturbances

This project will advance a fundamentally new control framework, utilizing streams of heterogeneous data to optimize the behavior of complex and dynamic networked systems with pervasive sensing and computing capabilities, operating in uncertain and changing environments. Existing workhorse control and optimization methodologies assume a large separation of time scales, sufficient to justify complete decoupling of […]

CAREER: Synthesis of Feedback-based Online Algorithms for Power Grids

This CAREER proposal focuses on power grids, and aims to translate foundational theory and algorithms into breakthrough real-time optimization and control approaches for distributed energy resources (DERs). In this context, the overarching goal is to overcome current technological and operational barriers associated with the large-scale integration of DERs, where: (a) the deployment of DERs with […]