Andrea Iannelli

Orcid: 0000-0002-1865-6978

According to our database1, Andrea Iannelli authored at least 57 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sample Complexity Bounds for Linear System Identification from a Finite Set.
CoRR, 2024

A hybrid systems framework for data-based adaptive control of linear time-varying systems.
CoRR, 2024

On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty.
CoRR, 2024

The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study.
CoRR, 2024

Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

A Harmonic Framework for the Identification of Linear Time-Periodic Systems.
Proceedings of the American Control Conference, 2024

2023
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.
IEEE Trans. Autom. Control., December, 2023

An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems.
IEEE Trans. Autom. Control., May, 2023

Maximum Likelihood Estimation in Data-Driven Modeling and Control.
IEEE Trans. Autom. Control., 2023

Closed-Loop Finite-Time Analysis of Suboptimal Online Control.
CoRR, 2023

Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening.
CoRR, 2023

A Dual System-Level Parameterization for Identification from Closed-Loop Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

An Online Learning Analysis of Minimax Adaptive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Data-Driven Approach to System Invertibility and Input Reconstruction.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A quantitative and constructive proof of Willems' Fundamental Lemma and its implications.
Proceedings of the American Control Conference, 2023

2022
FlexWing-ROM: A matlab framework for data-driven reduced-order modeling of flexible wings.
J. Open Source Softw., December, 2022

Dual adaptive MPC using an exact set-membership reformulation.
CoRR, 2022

Implications of Regret on Stability of Linear Dynamical Systems.
CoRR, 2022

Stochastic MPC with robustness to bounded parametric uncertainty.
CoRR, 2022

Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets.
CoRR, 2022

On the Regret of H<sub>∞</sub> control.
CoRR, 2022

Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates.
Proceedings of the European Control Conference, 2022

Infinite-Dimensional Sparse Learning in Linear System Identification.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Computationally efficient robust MPC using optimized constraint tightening.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On the Regret of H∞ Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

An update-and-design scheme for scenario-based LQR synthesis.
Proceedings of the American Control Conference, 2022

2021
Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration.
IEEE Robotics Autom. Lett., 2021

Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs.
IEEE Control. Syst. Lett., 2021

The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems.
CoRR, 2021

Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A distributed framework for linear adaptive MPC.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Design of input for data-driven simulation with Hankel and Page matrices.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

The role of the state in model reduction with subspace and POD-based data-driven methods.
Proceedings of the 2021 American Control Conference, 2021

2020
Computation of Bifurcation Margins Based on Robust Control Concepts.
SIAM J. Appl. Dyn. Syst., 2020

Linear Fractional Transformation co-modeling of high-order aeroelastic systems for robust flutter analysis.
Eur. J. Control, 2020

A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants.
IEEE Control. Syst. Lett., 2020

Experiment design for impulse response identification with signal matrix models.
CoRR, 2020

Learning Dynamical Systems using Local Stability Priors.
CoRR, 2020

Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization.
CoRR, 2020

Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion.
Autom., 2020

Active exploration in adaptive model predictive control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Local contraction analysis of stochastic systems with limit cycles.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Experiments and identification of thermoacoustic instabilities with the Rijke tube.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Nonlinear Robust Approaches to Study Stability and Postcritical Behavior of an Aeroelastic Plant.
IEEE Trans. Control. Syst. Technol., 2019

Robust estimations of the Region of Attraction using invariant sets.
J. Frankl. Inst., 2019

Robust Adaptive Model Predictive Control with Worst-Case Cost.
CoRR, 2019

Structured exploration in the finite horizon linear quadratic dual control problem.
CoRR, 2019

Region of attraction analysis with Integral Quadratic Constraints.
Autom., 2019

A symbolic LFT approach for robust flutter analysis of high-order models.
Proceedings of the 17th European Control Conference, 2019

2018
Algorithms for the estimation of the region of attraction with positively invariant sets.
Proceedings of the 7th International Conference on Systems and Control, 2018

Estimating the Region of Attraction of Uncertain Systems with Integral Quadratic Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

An equilibrium-independent region of attraction formulation for systems with uncertainty-dependent equilibria.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Nonlinear stability and post-critical analysis of an uncertain plant with describing functions and integral quadratic constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Modeling and robust Body Freedom Flutter Analysis of flexible aircraft configurations.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016


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