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20192025
most citedMaximum Likelihood Estimation in Data-Driven Modeling and Control

87 citations · 129 across the 19 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.SY2021★ 6 cited

Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Recently, direct data-driven prediction has found important applications for controlling unknown systems, particularly in predictive control. Such an approach provides exact predic…

eess.SY2021

Design of input for data-driven simulation with Hankel and Page matrices

Andrea Iannelli, Mingzhou Yin, Roy S. Smith

The paper deals with the problem of designing informative input trajectories for data-driven simulation. First, the excitation requirements in the case of noise-free data are discu…

eess.SY2021

A distributed framework for linear adaptive MPC

Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli +2

Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation. In this paper, a distributed version is proposed to deal with network s…

math.OC2021

Decentralized trajectory optimization for multi-agent exploration

Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn +1

Autonomous exploration is an application of growing importance in robotics. A promising strategy is ergodic trajectory planning, whereby an agent spends in each area a fraction of…

eess.SY2021

The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems

Andrea Iannelli, Urban Fasel, Roy S. Smith

A novel approach to reduced-order modeling of high-dimensional time varying systems is proposed. It leverages the formalism of the Dynamic Mode Decomposition technique together wit…