Andrea Iannelli

110 papers C 5Journal 77Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR. CoRR Bowen Song, Simon Weissmann, Mathias Staudigl, Andrea Iannelli
2026	J	`jnl`	End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. Autom. Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer, Andrea Iannelli
2026	J	`jnl`	Increasing dynamic accuracy of machine tools using predictive feedforward optimization with hybrid modeling. Robotics Comput. Integr. Manuf. Haijia Xu, Christoph Hinze, Andrea Iannelli, Zexu Zhou, Alexander Verl
2026	J	`jnl`	Structure, Analysis, and Synthesis of First-Order Algorithms. CoRR Jared Miller, Carsten W. Scherer, Fabian Jakob, Andrea Iannelli
2025	J	`jnl`	A Hybrid Systems Framework for Data-Based Adaptive Control of Linear Time-Varying Systems. IEEE Trans. Autom. Control. Andrea Iannelli, Romain Postoyan
2025	J	`jnl`	A Linear Parameter-Varying Framework for the Analysis of Time-Varying Optimization Algorithms. CoRR Fabian Jakob, Andrea Iannelli
2025	J	`jnl`	A Unified Bayesian Framework for Stochastic Data-Driven Smoothing, Prediction, and Control. CoRR Mingzhou Yin, Andrea Iannelli, Seyed Ali Nazari, Matthias Albrecht Müller
2025	—	`conf`	A polynomial-based QCQP solver for encrypted optimization. CDC Sebastian Schlor, Andrea Iannelli, Junsoo Kim, Hyungbo Shim, Frank Allgöwer
2025	J	`jnl`	A polynomial-based QCQP solver for encrypted optimization. CoRR Sebastian Schlor, Andrea Iannelli, Junsoo Kim, Hyungbo Shim, Frank Allgöwer
2025	J	`jnl`	Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence. CoRR Meisam Tavakoli, Fabian Jakob, Guido Carnevale, Giuseppe Notarstefano, Andrea Iannelli
2025	J	`jnl`	Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives. CoRR Klaus Herburger, Fabian Jakob, David Gänzle, Maximilian Manderla, Andrea Iannelli
2025	—	`conf`	Adaptive control mechanisms in gradient descent algorithms. CDC Andrea Iannelli
2025	J	`jnl`	Adaptive control mechanisms in gradient descent algorithms. CoRR Andrea Iannelli
2025	J	`jnl`	Analysis and Synthesis of Switched Optimization Algorithms. CoRR Jared Miller, Fabian Jakob, Carsten W. Scherer, Andrea Iannelli
2025	J	`jnl`	Closed-Loop Finite-Time Analysis of Suboptimal Online Control. IEEE Trans. Autom. Control. Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
2025	J	`jnl`	Convergence Guarantees of Model-free Policy Gradient Methods for LQR with Stochastic Data. CoRR Bowen Song, Andrea Iannelli
2025	—	`conf`	Convergence and Robustness of Value and Policy Iteration for the Linear Quadratic Regulator. ECC Bowen Song, Chenxuan Wu, Andrea Iannelli
2025	J	`jnl`	Convergence and stability of Q-learning in Hierarchical Reinforcement Learning. CoRR Massimiliano Manenti, Andrea Iannelli
2025	J	`jnl`	Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations. CoRR Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel
2025	J	`jnl`	Data-Driven Stabilization of Continuous-Time LTI Systems from Noisy Input-Output Data. CoRR Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Bowen Yi, Giuseppe Notarstefano
2025	J	`jnl`	Derivative-free data-driven control of continuous-time linear time-invariant systems. Eur. J. Control Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel
2025	—	`conf`	Hidden Convexity in Active Learning: A Convexified Online Input Design for ARX Systems. CDC Nicolas Chatzikiriakos, Bowen Song, Philipp Rank, Andrea Iannelli
2025	J	`jnl`	Hidden Convexity in Active Learning: A Convexified Online Input Design for ARX Systems. CoRR Nicolas Chatzikiriakos, Bowen Song, Philipp Rank, Andrea Iannelli
2025	J	`jnl`	High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems. CoRR Nicolas Chatzikiriakos, Kevin Jamieson, Andrea Iannelli
2025	J	`jnl`	Online Convex Optimization and Integral Quadratic Constraints: A new approach to regret analysis. CoRR Fabian Jakob, Andrea Iannelli
2025	—	`conf`	Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis. CDC Fabian Jakob, Andrea Iannelli
2025	J	`jnl`	Robust Inversion-Based Feedforward Control With Hybrid Modeling for Feed Drives. IEEE Trans. Control. Syst. Technol. Haijia Xu, Christoph Hinze, Andrea Iannelli, Alexander Verl
2025	J	`jnl`	Robustness of Online Identification-based Policy Iteration to Noisy Data. CoRR Bowen Song, Andrea Iannelli
2025	J	`jnl`	Robustness of online identification-based policy iteration to noisy data. Autom. Bowen Song, Andrea Iannelli
2025	J	`jnl`	Sample-Efficient Model-Free Policy Gradient Methods for Stochastic LQR via Robust Linear Regression. CoRR Bowen Song, Sebastien Gros, Andrea Iannelli
2024	C	`conf`	A Harmonic Framework for the Identification of Linear Time-Periodic Systems. ACC Flora Vernerey, Pierre Riedinger, Andrea Iannelli, Jamal Daafouz
2024	J	`jnl`	A hybrid systems framework for data-based adaptive control of linear time-varying systems. CoRR Andrea Iannelli, Romain Postoyan
2024	J	`jnl`	Convergence and Robustness of Value and Policy Iteration for the Linear Quadratic Regulator. CoRR Bowen Song, Chenxuan Wu, Andrea Iannelli
2024	J	`jnl`	Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems. CoRR Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel
2024	J	`jnl`	End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. CoRR Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer, Andrea Iannelli
2024	J	`jnl`	Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees. CoRR Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
2024	—	`conf`	Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. L4DC Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
2024	—	`conf`	On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty. CDC Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis, Andrea Iannelli, John Lygeros
2024	J	`jnl`	On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty. CoRR Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis, Andrea Iannelli, John Lygeros
2024	J	`jnl`	Sample Complexity Bounds for Linear System Identification From a Finite Set. IEEE Control. Syst. Lett. Nicolas Chatzikiriakos, Andrea Iannelli
2024	J	`jnl`	Sample Complexity Bounds for Linear System Identification from a Finite Set. CoRR Nicolas Chatzikiriakos, Andrea Iannelli
2024	J	`jnl`	The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study. CoRR Bowen Song, Andrea Iannelli
2023	—	`conf`	A Data-Driven Approach to System Invertibility and Input Reconstruction. CDC Vikas Kumar Mishra, Andrea Iannelli, Naim Bajçinca
2023	—	`conf`	A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023	J	`jnl`	A harmonic framework for the identification of linear time-periodic systems. CoRR Flora Vernerey, Pierre Riedinger, Andrea Iannelli, Jamal Daafouz
2023	C	`conf`	A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. ACC Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer
2023	J	`jnl`	An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems. IEEE Trans. Autom. Control. Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
2023	—	`conf`	An Online Learning Analysis of Minimax Adaptive Control. CDC Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
2023	J	`jnl`	An Online Learning Analysis of Minimax Adaptive Control. CoRR Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
2023	J	`jnl`	Closed-Loop Finite-Time Analysis of Suboptimal Online Control. CoRR Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
2023	J	`jnl`	Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023	—	`conf`	On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CDC Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
2023	J	`jnl`	On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CoRR Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros
2023	J	`jnl`	Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023	J	`jnl`	Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. IEEE Trans. Autom. Control. Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2022	J	`jnl`	A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. CoRR Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer
2022	J	`jnl`	An explicit dual control approach for constrained reference tracking of uncertain linear systems. CoRR Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
2022	C	`conf`	An update-and-design scheme for scenario-based LQR synthesis. ACC Anna Scampicchio, Andrea Iannelli
2022	—	`conf`	Computationally efficient robust MPC using optimized constraint tightening. CDC Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Computationally efficient robust MPC using optimized constraint tightening. CoRR Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli, Roy S. Smith
2022	—	`conf`	Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Dual adaptive MPC using an exact set-membership reformulation. CoRR Anilkumar Parsi, Diyou Liu, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	FlexWing-ROM: A matlab framework for data-driven reduced-order modeling of flexible wings. J. Open Source Softw. Urban Fasel, Nicola Fonzi, Andrea Iannelli, Steven L. Brunton
2022	J	`jnl`	Implications of Regret on Stability of Linear Dynamical Systems. CoRR Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta, Andrea Iannelli, John Lygeros
2022	—	`conf`	Infinite-Dimensional Sparse Learning in Linear System Identification. CDC Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
2022	—	`conf`	Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	On the Regret of H CoRR Aren Karapetyan, Andrea Iannelli, John Lygeros
2022	—	`conf`	On the Regret of H∞ Control. CDC Aren Karapetyan, Andrea Iannelli, John Lygeros
2022	—	`conf`	Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CDC Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
2022	J	`jnl`	Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros
2022	J	`jnl`	Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets. CoRR Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Stochastic MPC with robustness to bounded parametric uncertainty. CoRR Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2021	—	`conf`	A distributed framework for linear adaptive MPC. CDC Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
2021	J	`jnl`	A distributed framework for linear adaptive MPC. CoRR Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
2021	J	`jnl`	Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	J	`jnl`	Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration. IEEE Robotics Autom. Lett. Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros
2021	—	`conf`	Design of input for data-driven simulation with Hankel and Page matrices. CDC Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2021	J	`jnl`	Design of input for data-driven simulation with Hankel and Page matrices. CoRR Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2021	—	`conf`	Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	J	`jnl`	Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	J	`jnl`	The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. CoRR Andrea Iannelli, Urban Fasel, Roy S. Smith
2021	C	`conf`	The role of the state in model reduction with subspace and POD-based data-driven methods. ACC Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	A Multiobjective LQR Synthesis Approach to Dual Control for Uncertain Plants. IEEE Control. Syst. Lett. Andrea Iannelli, Roy S. Smith
2020	—	`conf`	Active exploration in adaptive model predictive control. CDC Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Active exploration in adaptive model predictive control. CoRR Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Computation of Bifurcation Margins Based on Robust Control Concepts. SIAM J. Appl. Dyn. Syst. Andrea Iannelli, Mark H. Lowenberg, Andrés Marcos
2020	J	`jnl`	Experiment design for impulse response identification with signal matrix models. CoRR Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2020	—	`conf`	Experiments and identification of thermoacoustic instabilities with the Rijke tube. CCTA Andrea Iannelli, Martin Stefan Baumann, Samuel Balula, Roy S. Smith
2020	J	`jnl`	Learning Dynamical Systems using Local Stability Priors. CoRR Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf
2020	J	`jnl`	Linear Fractional Transformation co-modeling of high-order aeroelastic systems for robust flutter analysis. Eur. J. Control Andrea Iannelli, Andrés Marcos, Rocco Bombardieri, Rauno Cavallaro
2020	J	`jnl`	Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith
2020	—	`conf`	Local contraction analysis of stochastic systems with limit cycles. CDC Eva Ahbe, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. Autom. Eva Ahbe, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2019	—	`conf`	A symbolic LFT approach for robust flutter analysis of high-order models. ECC Andrea Iannelli, Andrés Marcos, Rocco Bombardieri, Rauno Cavallaro
2019	J	`jnl`	Nonlinear Robust Approaches to Study Stability and Postcritical Behavior of an Aeroelastic Plant. IEEE Trans. Control. Syst. Technol. Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
2019	J	`jnl`	Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. CoRR Eva Ahbe, Andrea Iannelli, Roy S. Smith
2019	J	`jnl`	Region of attraction analysis with Integral Quadratic Constraints. Autom. Andrea Iannelli, Peter J. Seiler, Andrés Marcos
2019	J	`jnl`	Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith
2019	J	`jnl`	Robust estimations of the Region of Attraction using invariant sets. J. Frankl. Inst. Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
2019	J	`jnl`	Structured exploration in the finite horizon linear quadratic dual control problem. CoRR Andrea Iannelli, Mohammad Khosravi, Roy S. Smith
2018	—	`conf`	Algorithms for the estimation of the region of attraction with positively invariant sets. ICSC Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
2018	—	`conf`	An equilibrium-independent region of attraction formulation for systems with uncertainty-dependent equilibria. CDC Andrea Iannelli, Andrés Marcos, Peter J. Seiler
2018	—	`conf`	Estimating the Region of Attraction of Uncertain Systems with Integral Quadratic Constraints. CDC Andrea Iannelli, Peter J. Seiler, Andrés Marcos
2017	—	`conf`	Nonlinear stability and post-critical analysis of an uncertain plant with describing functions and integral quadratic constraints. CDC Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg
2016	C	`conf`	Modeling and robust Body Freedom Flutter Analysis of flexible aircraft configurations. CCA Andrea Iannelli, Andrés Marcos, Mark H. Lowenberg