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

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 …

Autonomous optimization refers to the design of feedback controllers that steer a physical
system to a steady state that solves a predefined, possibly constrained, optimization …

This article investigates the problem of regulating, at every time, a linear dynamical system
to the solution trajectory of a time-varying constrained convex optimization problem. The …

In laser powder bed fusion (LPBF), part quality and process conditions are highly dependent
on the interlayer temperature (ILT) of the exposure surface of printed parts. State-of-the-art …

In this letter, we present a novel control scheme for feedback optimization. That is, we
propose a discrete-time controller that can steer a physical plant to the solution of a …

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

Distributed aggregative optimization is a recently emerged framework in which the agents of
a network want to minimize the sum of local objective functions, each one depending on the …

We consider the problem of designing a feedback controller for a multivariable linear time-
invariant system, which regulates a system output to the solution of an equality-constrained …

This study addresses the distributed nonconvex optimization problem for nonlinear multi-
agent systems over a weight-balanced and quasi-strongly connected graph. The purpose is …