Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …

Optimization underpins many of the challenges that science and technology face on a daily
basis. Recent years have witnessed a major shift from traditional optimization paradigms …

This paper develops and analyzes feedback-based online optimization methods to regulate
the output of a linear time invariant (LTI) dynamical system to the optimal solution of a time …

Distributed energy resources (DERs)-which can include solar photovoltaic (PV), fuel cells,
microturbines, gensets, distributed energy storage (eg, batteries and ice storage), and new …

There is a growing cross-disciplinary effort in the broad domain of optimization and learning
with streams of data, applied to settings where traditional batch optimization techniques …

Internet of Things (IoT) envisions an intelligent infrastructure of networked smart devices
offering task-specific monitoring and control services. The unique features of IoT include …

This paper presents an adaptive backstep** approach to distributed optimization for a
class of nonlinear multi-agent systems with each agent represented by the parametric strict …

This paper investigates the cyber resiliency of future power systems with high penetration of
distributed energy resources using advanced distributed and (or) hierarchical control …

The electric power system is currently undergoing a period of unprecedented changes.
Environmental and sustainability concerns lead to replacement of a significant share of …

This article investigates constrained online noncooperative games (NGs) of multiagent
systems over unbalanced digraphs, where the cost functions of players are time-varying and …