3 citations · 6 across the 15 of their papers we have counts for
3 papers · 2 filters
Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
In this paper, we address Linear Quadratic Regulator (LQR) problems through a novel iterative algorithm named EXtremum-seeking Policy iteration LQR (EXP-LQR). The peculiarity of EX…
Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach
Rodrigo Aldana-López, Alessandro Macchelli, Giuseppe Notarstefano +2
This paper introduces a novel distributed optimization technique for networked systems, which removes the dependency on specific parameter choices, notably the learning rate. Tradi…
A Unifying System Theory Framework for Distributed Optimization and Games
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
This paper introduces a systematic methodological framework to design and analyze distributed algorithms for optimization and games over networks. Starting from a centralized metho…