Andrea Iannelli

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 73

Top Topics

Active Exploration

Linear Fractional

Stochastic Systems

Top Venues

IEEE Trans. Autom. Control.

Publications

Bowen Song, Andrea Iannelli
The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study. CoRR (2024)
Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. L4DC (2024)
Andrea Iannelli, Romain Postoyan
A hybrid systems framework for data-based adaptive control of linear time-varying systems. CoRR (2024)
Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis, Andrea Iannelli, John Lygeros
On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty. CoRR (2024)
Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees. CoRR (2024)
Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CDC (2023)
Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
An Online Learning Analysis of Minimax Adaptive Control. CDC (2023)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. 68 (1) (2023)
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC (2023)
Flora Vernerey, Pierre Riedinger, Andrea Iannelli, Jamal Daafouz
A harmonic framework for the identification of linear time-periodic systems. CoRR (2023)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems. IEEE Trans. Autom. Control. 68 (5) (2023)
Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
An Online Learning Analysis of Minimax Adaptive Control. CoRR (2023)
Vikas Kumar Mishra, Andrea Iannelli, Naim Bajçinca
A Data-Driven Approach to System Invertibility and Input Reconstruction. CDC (2023)
Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
Closed-Loop Finite-Time Analysis of Suboptimal Online Control. CoRR (2023)
Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. ACC (2023)
Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CoRR (2023)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR (2023)
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. IEEE Trans. Autom. Control. 68 (12) (2023)
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR (2022)
Anna Scampicchio, Andrea Iannelli
An update-and-design scheme for scenario-based LQR synthesis. ACC (2022)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC (2022)
Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta, Andrea Iannelli, John Lygeros
Implications of Regret on Stability of Linear Dynamical Systems. CoRR (2022)
Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. CoRR (2022)
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR (2022)
Urban Fasel, Nicola Fonzi, Andrea Iannelli, Steven L. Brunton
FlexWing-ROM: A matlab framework for data-driven reduced-order modeling of flexible wings. J. Open Source Softw. 7 (80) (2022)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
An explicit dual control approach for constrained reference tracking of uncertain linear systems. CoRR (2022)
Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
Computationally efficient robust MPC using optimized constraint tightening. CoRR (2022)
Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CDC (2022)
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
Infinite-Dimensional Sparse Learning in Linear System Identification. CDC (2022)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets. CoRR (2022)
Aren Karapetyan, Andrea Iannelli, John Lygeros
On the Regret of H∞ Control. CDC (2022)
Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
Computationally efficient robust MPC using optimized constraint tightening. CDC (2022)
Aren Karapetyan, Andrea Iannelli, John Lygeros
control. CoRR (2022)
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC (2022)
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
Stochastic MPC with robustness to bounded parametric uncertainty. CoRR (2022)
Anilkumar Parsi, Diyou Liu, Andrea Iannelli, Roy S. Smith
Dual adaptive MPC using an exact set-membership reformulation. CoRR (2022)
Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR (2022)
Andrea Iannelli, Urban Fasel, Roy S. Smith
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. CoRR (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC (2021)
Andrea Iannelli, Roy S. Smith
The role of the state in model reduction with subspace and POD-based data-driven methods. ACC (2021)
Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
A distributed framework for linear adaptive MPC. CDC (2021)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Design of input for data-driven simulation with Hankel and Page matrices. CDC (2021)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Design of input for data-driven simulation with Hankel and Page matrices. CoRR (2021)
Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
A distributed framework for linear adaptive MPC. CoRR (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR (2021)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. 5 (1) (2021)
Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros
Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration. IEEE Robotics Autom. Lett. 6 (4) (2021)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Local contraction analysis of stochastic systems with limit cycles. CDC (2020)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Active exploration in adaptive model predictive control. CDC (2020)
Andrea Iannelli, Andrés Marcos, Rocco Bombardieri, Rauno Cavallaro
Linear Fractional Transformation co-modeling of high-order aeroelastic systems for robust flutter analysis. Eur. J. Control 54 (2020)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. Autom. 122 (2020)
Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR (2020)
Andrea Iannelli, Roy S. Smith
A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants. IEEE Control. Syst. Lett. 4 (4) (2020)
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR (2020)
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
Experiment design for impulse response identification with signal matrix models. CoRR (2020)
Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf
Learning Dynamical Systems using Local Stability Priors. CoRR (2020)
Andrea Iannelli, Martin Stefan Baumann, Samuel Balula, Roy S. Smith
Experiments and identification of thermoacoustic instabilities with the Rijke tube. CCTA (2020)
Andrea Iannelli, Mark H. Lowenberg, Andrés Marcos
Computation of Bifurcation Margins Based on Robust Control Concepts. SIAM J. Appl. Dyn. Syst. 19 (3) (2020)
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
Active exploration in adaptive model predictive control. CoRR (2020)
Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith
Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR (2019)
Eva Ahbe, Andrea Iannelli, Roy S. Smith
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. CoRR (2019)
Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
Nonlinear Robust Approaches to Study Stability and Postcritical Behavior of an Aeroelastic Plant. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
Robust estimations of the Region of Attraction using invariant sets. J. Frankl. Inst. 356 (8) (2019)
Andrea Iannelli, Andrés Marcos, Rocco Bombardieri, Rauno Cavallaro
A symbolic LFT approach for robust flutter analysis of high-order models. ECC (2019)
Andrea Iannelli, Peter J. Seiler, Andrés Marcos
Region of attraction analysis with Integral Quadratic Constraints. Autom. 109 (2019)
Andrea Iannelli, Mohammad Khosravi, Roy S. Smith
Structured exploration in the finite horizon linear quadratic dual control problem. CoRR (2019)
Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
Algorithms for the estimation of the region of attraction with positively invariant sets. ICSC (2018)
Andrea Iannelli, Peter J. Seiler, Andrés Marcos
Estimating the Region of Attraction of Uncertain Systems with Integral Quadratic Constraints. CDC (2018)
Andrea Iannelli, Andrés Marcos, Peter J. Seiler
An equilibrium-independent region of attraction formulation for systems with uncertainty-dependent equilibria. CDC (2018)
Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
Nonlinear stability and post-critical analysis of an uncertain plant with describing functions and integral quadratic constraints. CDC (2017)
Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
Modeling and robust Body Freedom Flutter Analysis of flexible aircraft configurations. CCA (2016)