32 citations · 32 across the 3 of their papers we have counts for
7 papers · 1 filter
Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models
Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi
This paper deals with the problem of adaptive output regulation for multivariable nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. Th…
A Distributed Methodology for Approximate Uniform Global Minimum Sharing
Michelangelo Bin, Thomas Parisini
The paper deals with the distributed minimum sharing problem: a set of decision-makers compute the minimum of some local quantities of interest in a distributed and decentralized w…
Model Identification and Adaptive State Observation for a Class of Nonlinear Systems
Michelangelo Bin, Lorenzo Marconi
In this paper we consider the joint problems of state estimation and model identification for a class of continuous-time nonlinear systems in output-feedback canonical form. An ada…
About Robustness of Control Systems Embedding an Internal Model
Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi
Robustness is a basic property of any control system. In the context of linear output regulation, it was proved that embedding an internal model of the exogenous signals is necessa…
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi +1
In this paper we consider a recently developed distributed optimization algorithm based on gradient tracking. We propose a system theory framework to analyze its structural propert…
Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models
Michelangelo Bin, Pauline Bernard, Lorenzo Marconi
This paper concerns the problem of adaptive output regulation for multivariable nonlinear systems in normal form. We present a regulator employing an adaptive internal model of the…