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ORCIDAndrea Iannelli
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2020 – today
- 2025
[i39]Fabian Jakob, Andrea Iannelli:
A Linear Parameter-Varying Framework for the Analysis of Time-Varying Optimization Algorithms. CoRR abs/2501.07461 (2025)- 2024
- [j14]Nicolas Chatzikiriakos
, Andrea Iannelli:
Sample Complexity Bounds for Linear System Identification From a Finite Set. IEEE Control. Syst. Lett. 8: 2751-2756 (2024) - [c28]Flora Vernerey, Pierre Riedinger, Andrea Iannelli, Jamal Daafouz:
A Harmonic Framework for the Identification of Linear Time-Periodic Systems. ACC 2024: 4645-4650 - [c27]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. CDC 2024: 3372-3377 - [c26]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: 387-398 - [i38]Bowen Song, Andrea Iannelli:
The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study. CoRR abs/2401.06721 (2024) - [i37]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 abs/2401.07780 (2024) - [i36]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 abs/2404.02023 (2024) - [i35]Andrea Iannelli, Romain Postoyan:
A hybrid systems framework for data-based adaptive control of linear time-varying systems. CoRR abs/2405.14426 (2024) - [i34]Nicolas Chatzikiriakos, Andrea Iannelli:
Sample Complexity Bounds for Linear System Identification from a Finite Set. CoRR abs/2409.11141 (2024) - [i33]Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer, Andrea Iannelli:
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. CoRR abs/2409.18010 (2024) - [i32]Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel:
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems. CoRR abs/2410.24167 (2024) - [i31]Bowen Song, Chenxuan Wu, Andrea Iannelli:
Convergence and Robustness of Value and Policy Iteration for the Linear Quadratic Regulator. CoRR abs/2411.04548 (2024) - 2023
- [j13]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. 68(1): 317-328 (2023) - [j12]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): 2652-2666 (2023) - [j11]Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger:
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. IEEE Trans. Autom. Control. 68(12): 7601-7615 (2023) - [c25]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: 4155-4160 - [c24]Vikas Kumar Mishra, Andrea Iannelli, Naim Bajçinca:
A Data-Driven Approach to System Invertibility and Input Reconstruction. CDC 2023: 671-676 - [c23]Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer:
An Online Learning Analysis of Minimax Adaptive Control. CDC 2023: 1034-1039 - [c22]Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC 2023: 4506-4511 - [c21]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CDC 2023: 5053-5058 - [i30]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CoRR abs/2305.10085 (2023) - [i29]Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer:
An Online Learning Analysis of Minimax Adaptive Control. CoRR abs/2307.07268 (2023) - [i28]Flora Vernerey, Pierre Riedinger, Andrea Iannelli, Jamal Daafouz:
A harmonic framework for the identification of linear time-periodic systems. CoRR abs/2309.16273 (2023) - [i27]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR abs/2312.02758 (2023) - [i26]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
Closed-Loop Finite-Time Analysis of Suboptimal Online Control. CoRR abs/2312.05607 (2023) - 2022
- [j10]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): 4211 (2022) - [c20]Anna Scampicchio, Andrea Iannelli:
An update-and-design scheme for scenario-based LQR synthesis. ACC 2022: 932-939 - [c19]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: 221-226 - [c18]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith:
Infinite-Dimensional Sparse Learning in Linear System Identification. CDC 2022: 850-855 - [c17]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: 1479-1484 - [c16]Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith:
Computationally efficient robust MPC using optimized constraint tightening. CDC 2022: 1770-1775 - [c15]Aren Karapetyan, Andrea Iannelli, John Lygeros:
On the Regret of H∞ Control. CDC 2022: 6181-6186 - [c14]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC 2022: 853-858 - [i25]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
An explicit dual control approach for constrained reference tracking of uncertain linear systems. CoRR abs/2202.02351 (2022) - [i24]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith:
Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR abs/2203.14731 (2022) - [i23]Aren Karapetyan, Andrea Iannelli, John Lygeros:
On the Regret of H∞ control. CoRR abs/2203.16237 (2022) - [i22]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 abs/2203.16306 (2022) - [i21]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets. CoRR abs/2204.02134 (2022) - [i20]Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith:
Computationally efficient robust MPC using optimized constraint tightening. CoRR abs/2204.02142 (2022) - [i19]Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros:
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR abs/2204.04722 (2022) - [i18]Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger:
Stochastic MPC with robustness to bounded parametric uncertainty. CoRR abs/2205.10275 (2022) - [i17]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 abs/2208.00905 (2022) - [i16]Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta, Andrea Iannelli, John Lygeros:
Implications of Regret on Stability of Linear Dynamical Systems. CoRR abs/2211.07411 (2022) - [i15]Anilkumar Parsi, Diyou Liu, Andrea Iannelli, Roy S. Smith:
Dual adaptive MPC using an exact set-membership reformulation. CoRR abs/2211.16300 (2022) - 2021
- [j9]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. 5(1): 145-150 (2021) - [j8]Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros:
Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration. IEEE Robotics Autom. Lett. 6(4): 6329-6336 (2021) - [c13]Andrea Iannelli, Roy S. Smith:
The role of the state in model reduction with subspace and POD-based data-driven methods. ACC 2021: 4484-4490 - [c12]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Design of input for data-driven simulation with Hankel and Page matrices. CDC 2021: 139-145 - [c11]Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. CDC 2021: 460-465 - [c10]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC 2021: 1004-1014 - [i14]Andrea Iannelli, Urban Fasel, Roy S. Smith:
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. CoRR abs/2102.03763 (2021) - [i13]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Design of input for data-driven simulation with Hankel and Page matrices. CoRR abs/2109.04742 (2021) - [i12]Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. CoRR abs/2109.05777 (2021) - [i11]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR abs/2111.04789 (2021) - 2020
- [j7]Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. Autom. 122: 109187 (2020) - [j6]Andrea Iannelli, Roy S. Smith:
A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants. IEEE Control. Syst. Lett. 4(4): 952-957 (2020) - [j5]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: 49-63 (2020) - [j4]Andrea Iannelli, Mark H. Lowenberg, Andrés Marcos:
Computation of Bifurcation Margins Based on Robust Control Concepts. SIAM J. Appl. Dyn. Syst. 19(3): 1956-1992 (2020) - [c9]Andrea Iannelli, Martin Stefan Baumann, Samuel Balula, Roy S. Smith:
Experiments and identification of thermoacoustic instabilities with the Rijke tube. CCTA 2020: 757-763 - [c8]Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Local contraction analysis of stochastic systems with limit cycles. CDC 2020: 2014-2019 - [c7]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
Active exploration in adaptive model predictive control. CDC 2020: 6186-6191 - [i10]Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith:
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR abs/2003.06653 (2020) - [i9]Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
Active exploration in adaptive model predictive control. CoRR abs/2003.14120 (2020) - [i8]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR abs/2006.03838 (2020) - [i7]Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf:
Learning Dynamical Systems using Local Stability Priors. CoRR abs/2008.10053 (2020) - [i6]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR abs/2011.00925 (2020) - [i5]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR abs/2012.04678 (2020) - [i4]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Experiment design for impulse response identification with signal matrix models. CoRR abs/2012.08126 (2020)
2010 – 2019
- 2019
- [j3]Andrea Iannelli, Peter J. Seiler, Andrés Marcos:
Region of attraction analysis with Integral Quadratic Constraints. Autom. 109 (2019) - [j2]Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg:
Robust estimations of the Region of Attraction using invariant sets. J. Frankl. Inst. 356(8): 4622-4647 (2019) - [j1]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): 703-716 (2019) - [c6]Andrea Iannelli, Andrés Marcos, Rocco Bombardieri, Rauno Cavallaro:
A symbolic LFT approach for robust flutter analysis of high-order models. ECC 2019: 961-967 - [i3]Andrea Iannelli, Mohammad Khosravi, Roy S. Smith:
Structured exploration in the finite horizon linear quadratic dual control problem. CoRR abs/1910.14492 (2019) - [i2]Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. CoRR abs/1911.00252 (2019) - [i1]Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith:
Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR abs/1911.08607 (2019) - 2018
- [c5]Andrea Iannelli, Andrés Marcos, Peter J. Seiler:
An equilibrium-independent region of attraction formulation for systems with uncertainty-dependent equilibria. CDC 2018: 725-730 - [c4]Andrea Iannelli, Peter J. Seiler, Andrés Marcos:
Estimating the Region of Attraction of Uncertain Systems with Integral Quadratic Constraints. CDC 2018: 3922-3927 - [c3]Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg:
Algorithms for the estimation of the region of attraction with positively invariant sets. ICSC 2018: 93-98 - 2017
- [c2]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: 1828-1833 - 2016
- [c1]Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg:
Modeling and robust Body Freedom Flutter Analysis of flexible aircraft configurations. CCA 2016: 243-248
Coauthor Index
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