While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …

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 work addresses decentralized online optimization in nonstationary environments. A
network of agents aim to track the minimizer of a global, time-varying, and convex function …

This paper considers unconstrained convex optimization problems with time-varying
objective functions. We propose algorithms with a discrete time-sampling scheme to find and …

Model predictive control (MPC) is a popular control approach to ensure constraint
satisfaction, while minimizing a cost function. Although MPC usually leads to very good …

This paper develops online algorithms to track solutions of time-varying constrained
optimization problems. Particularly, resembling workhorse Kalman filtering-based …

We develop algorithms that find and track the optimal solution trajectory of time-varying
convex optimization problems that consist of local and network-related objectives. The …

The aircraft environmental control system (ECS) is the second-highest fuel consumer
system, behind the propulsion system. To reduce fuel consumption, one research direction …

Devising efficient algorithms that track the optimizers of continuously varying convex
optimization problems is key in many applications. A possible strategy is to sample the time …

Abstract A Command Governor (CG) is an optimization-based add-on scheme to a nominal
closed-loop system. It is used to enforce state and control constraints by modifying reference …