Triggered gradient tracking for asynchronous distributed optimization

G Carnevale, I Notarnicola, L Marconi, G Notarstefano - Automatica, 2023 - Elsevier
Abstract This paper proposes Asynchronous Triggered Gradient Tracking, ie, a distributed
optimization algorithm to solve consensus optimization over networks with asynchronous …

The gradient tracking is a distributed integral action

I Notarnicola, M Bin, L Marconi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We revisit the recent gradient tracking algorithm for distributed consensus optimization from
a control theoretic viewpoint. We show that the algorithm can be constructed by solving a …

A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems

S Zhou, Y Wei, S Liang, J Cao - IEEE Transactions on Signal …, 2024 - ieeexplore.ieee.org
This paper investigates the distributed consensus optimization over a class of nabla
fractional multi-agent systems (nFMASs). The proposed approach, built upon conventional …

Assessment of computation methods for coalitional feedback controllers

A Maxim, O Pauca, JM Maestre… - 2022 European Control …, 2022 - ieeexplore.ieee.org
This paper proposes a comparative assessment between gradient-based and LMI (Linear
Matrix Inequality)-based computational methods for coalitional feedback controllers. The …

Structured-policy Q-learning: an LMI-based design strategy for distributed reinforcement learning

L Sforni, A Camisa… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
In this paper, we consider a Linear Quadratic optimal control problem with the assumptions
that the system dynamics is unknown and that the designed feedback control has to comply …

Distributed optimization and games over networks: a system theoretical perspective

G Carnevale - 2023 - amsdottorato.unibo.it
Several decision and control tasks involve networks of cyber-physical systems that need to
be coordinated and controlled according to a fully-distributed paradigm involving only local …