3 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
High-Performance Motorbike Lean Angle Estimation
Nicola Mimmo, Matteo Zanzi
This work deals with the real-time estimation of the lean angle of high-performance motorbikes. The estimate is obtained through measurements provided by an onboard inertial sensor…
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
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 t…
Very large-scale neighborhood search for drone routing with energy replenishment
Catherine Lorenz, Nicola Mimmo, Alena Otto +1
The Drone Routing Problem with Energy replenishment (DRP-E) belongs to a general class of routing problems with intermediate stops and synchronization constraints. In DRP-E, the dr…
Uniform non-convex optimisation via Extremum Seeking
Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano
The paper deals with a well-known extremum seeking scheme by proving uniformity properties with respect to the amplitudes of the dither signal and of the cost function. Those prope…
Uniform quasi-convex optimisation via Extremum Seeking
Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano
The paper deals with a well-known extremum seeking scheme by proving uniformity properties with respect to the amplitudes of the dither signal and of the cost function. Those prope…
Extremum Seeking Tracking for Derivative-free Distributed Optimization
Nicola Mimmo, Guido Carnevale, Andrea Testa +1
In this paper, we deal with a network of agents that want to cooperatively minimize the sum of local cost functions depending on a common decision variable. We consider the challen…
UAV-Based Search and Rescue in Avalanches using ARVA: An Extremum Seeking Approach
Ilario Antonio Azzollini, Nicola Mimmo, Lorenzo Gentilini +1
This work deals with the problem of localizing a victim buried by an avalanche by means of a drone equipped with an ARVA (Appareil de Recherche de Victimes d'Avalanche) sensor. The…