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2020 – today
- 2023
[j129]Katrine Seel
, Alberto Bemporad, Sébastien Gros, Jan Tommy Gravdahl:
Variance-Based Exploration for Learning Model Predictive Control. IEEE Access 11: 60724-60736 (2023)- [j128]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Auto-tuning of reference models in direct data-driven control. Autom. 155: 111110 (2023) - [j127]Alberto Bemporad:
Training recurrent neural networks by sequential least squares and the alternating direction method of multipliers. Autom. 156: 111183 (2023) - [j126]Adeyemi D. Adeoye, Alberto Bemporad:
SCORE: approximating curvature information under self-concordant regularization. Comput. Optim. Appl. 86(2): 599-626 (2023) - [j125]Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga:
Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. 7: 1488-1493 (2023) - [j124]Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad:
Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. IEEE Control. Syst. Lett. 7: 2047-2052 (2023) - [j123]Matteo Facchino, Alberto Bemporad, Mario Zanon:
Tracking MPC Tuning in Continuous Time: A First-Order Approximation of Economic MPC. IEEE Control. Syst. Lett. 7: 2197-2202 (2023) - [j122]Kristoffer Fink Løwenstein, Daniele Bernardini, Lorenzo Fagiano, Alberto Bemporad:
Physics-informed online learning of gray-box models by moving horizon estimation. Eur. J. Control 74: 100861 (2023) - [j121]Alberto Bemporad:
Active learning for regression by inverse distance weighting. Inf. Sci. 626: 275-292 (2023) - [j120]Alberto Bemporad, Gionata Cimini:
Variable Elimination in Model Predictive Control Based on K-SVD and QR Factorization. IEEE Trans. Autom. Control. 68(2): 782-797 (2023) - [j119]Alberto Bemporad:
A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems. IEEE Trans. Autom. Control. 68(6): 3194-3209 (2023) - [j118]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of Input Disturbance Sets for Constrained Output Reachability. IEEE Trans. Autom. Control. 68(6): 3573-3580 (2023) - [j117]Pablo Krupa, Daniel Limón, Alberto Bemporad, Teodoro Alamo:
Efficiently Solving the Harmonic Model Predictive Control Formulation. IEEE Trans. Autom. Control. 68(9): 5568-5575 (2023) - [j116]Alberto Bemporad:
Recurrent Neural Network Training With Convex Loss and Regularization Functions by Extended Kalman Filtering. IEEE Trans. Autom. Control. 68(9): 5661-5668 (2023) - [j115]Liang Wu, Alberto Bemporad:
A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control. IEEE Trans. Autom. Control. 68(11): 6860-6866 (2023) - [j114]Alessandro Ravera, Alberto Oliveri, Matteo Lodi, Alberto Bemporad, W. P. M. H. Heemels, Eric C. Kerrigan, Marco Storace:
Co-Design of a Controller and Its Digital Implementation: The MOBY-DIC2 Toolbox for Embedded Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(6): 2871-2878 (2023) - [c165]Adam Molin, Edgar A. Aguilar, Dejan Nickovic, Mengjia Zhu, Alberto Bemporad, Hasan Esen:
Specification-Guided Critical Scenario Identification for Automated Driving. FM 2023: 610-621 - [i38]Mengjia Zhu, Alberto Bemporad:
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates. CoRR abs/2302.04686 (2023) - [i37]Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad:
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems. CoRR abs/2303.10024 (2023) - [i36]Pablo Krupa, Omar Inverso, Mirco Tribastone, Alberto Bemporad:
Certification of the proximal gradient method under fixed-point arithmetic for box-constrained QP problems. CoRR abs/2303.16786 (2023) - [i35]Adeyemi D. Adeoye, Alberto Bemporad:
Self-concordant Smoothing for Convex Composite Optimization. CoRR abs/2309.01781 (2023) - [i34]Sampath Kumar Mulagaleti, Manas Mejari, Alberto Bemporad:
Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate. CoRR abs/2309.02384 (2023) - [i33]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of safe disturbance sets using implicit RPI sets. CoRR abs/2309.06079 (2023) - [i32]Manas Mejari, Sampath Kumar Mulagaleti, Alberto Bemporad:
Data-Driven Synthesis of Configuration-Constrained Robust Invariant Sets for Linear Parameter-Varying Systems. CoRR abs/2309.06998 (2023) - [i31]Pablo Krupa, Daniel Limón, Alberto Bemporad, Teodoro Alamo:
Harmonic model predictive control for tracking periodic references. CoRR abs/2310.16723 (2023) - 2022
- [j113]Nilay Saraf, Alberto Bemporad:
An efficient bounded-variable nonlinear least-squares algorithm for embedded MPC. Autom. 141: 110293 (2022) - [j112]Daniele Masti, Mario Zanon, Alberto Bemporad:
Tuning LQR Controllers: A Sensitivity-Based Approach. IEEE Control. Syst. Lett. 6: 932-937 (2022) - [j111]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Data-Driven Synthesis of Robust Invariant Sets and Controllers. IEEE Control. Syst. Lett. 6: 1676-1681 (2022) - [j110]Daniel Arnström, Alberto Bemporad, Daniel Axehill:
A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming. IEEE Control. Syst. Lett. 6: 2066-2071 (2022) - [j109]Federico Bianchi, Luigi Piroddi, Alberto Bemporad, Geza Halasz, Matteo Villani, Dario Piga:
Active preference-based optimization for human-in-the-loop feature selection. Eur. J. Control 66: 100647 (2022) - [j108]Stella Simic, Alberto Bemporad, Omar Inverso, Mirco Tribastone:
Tight Error Analysis in Fixed-point Arithmetic. Formal Aspects Comput. 34(1): 1-32 (2022) - [j107]Daniel Arnström, Alberto Bemporad, Daniel Axehill:
A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL$^{T}$ Updates. IEEE Trans. Autom. Control. 67(8): 4362-4369 (2022) - [j106]Mario Zanon, Alberto Bemporad:
Constrained Controller and Observer Design by Inverse Optimality. IEEE Trans. Autom. Control. 67(10): 5432-5439 (2022) - [j105]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Input Constraint Sets for Robust Regulation of Linear Systems. IEEE Trans. Autom. Control. 67(10): 5533-5540 (2022) - [j104]Mengjia Zhu, Dario Piga, Alberto Bemporad:
C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration. IEEE Trans. Control. Syst. Technol. 30(5): 2176-2187 (2022) - [c164]Stefano Menchetti, Mario Zanon, Alberto Bemporad:
Linear Observer Learning by Temporal Difference. CDC 2022: 2777-2782 - [i30]Alberto Bemporad:
Active Learning for Regression and Classification by Inverse Distance Weighting. CoRR abs/2204.07177 (2022) - [i29]Liang Wu, Alberto Bemporad:
A construction-free coordinate-descent augmented-Lagrangian method for embedded linear MPC based on ARX models. CoRR abs/2207.06098 (2022) - [i28]Angelo Bratta, Michele Focchi, Niraj Rathod, Mario Zanon, Alberto Bemporad, Claudio Semini:
Governor: a Reference Generator for Nonlinear Model Predictive Control in Legged Robots. CoRR abs/2207.10175 (2022) - [i27]Mengjia Zhu, Alberto Bemporad, Maximilian Kneissl, Hasan Esen:
Learning Critical Scenarios in Feedback Control Systems for Automated Driving. CoRR abs/2209.12586 (2022) - [i26]Filippo Fabiani, Alberto Bemporad:
A learning-based approach to multi-agent decision-making. CoRR abs/2212.12561 (2022) - 2021
- [j103]Niraj Rathod, Angelo Bratta, Michele Focchi, Mario Zanon, Octavio Villarreal, Claudio Semini, Alberto Bemporad:
Model Predictive Control With Environment Adaptation for Legged Locomotion. IEEE Access 9: 145710-145727 (2021) - [j102]Robert A. E. Zidek, Ilya V. Kolmanovsky, Alberto Bemporad:
Model predictive control for drift counteraction of stochastic constrained linear systems. Autom. 123: 109304 (2021) - [j101]Daniele Masti, Alberto Bemporad:
Learning nonlinear state-space models using autoencoders. Autom. 129: 109666 (2021) - [j100]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of Least-Conservative State-Constraint Sets for Decentralized MPC With Dynamic and Constraint Coupling. IEEE Control. Syst. Lett. 5(1): 235-240 (2021) - [j99]Daniel Arnström, Alberto Bemporad, Daniel Axehill:
Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming. IEEE Control. Syst. Lett. 5(4): 1381-1386 (2021) - [j98]Daniela Selvi, Dario Piga, Giorgio Battistelli, Alberto Bemporad:
Optimal direct data-driven control with stability guarantees. Eur. J. Control 59: 175-187 (2021) - [j97]Daniele Masti, Daniele Bernardini, Alberto Bemporad:
A machine-learning approach to synthesize virtual sensors for parameter-varying systems. Eur. J. Control 61: 40-49 (2021) - [j96]Alberto Bemporad, Dario Piga:
Global optimization based on active preference learning with radial basis functions. Mach. Learn. 110(2): 417-448 (2021) - [j95]Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga:
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IEEE Robotics Autom. Lett. 6(4): 6632-6639 (2021) - [j94]Gionata Cimini, Daniele Bernardini, Stephen Levijoki, Alberto Bemporad:
Embedded Model Predictive Control With Certified Real-Time Optimization for Synchronous Motors. IEEE Trans. Control. Syst. Technol. 29(2): 893-900 (2021) - [c163]Daniel Arnström, Alberto Bemporad, Daniel Axehill:
Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming. ACC 2021: 947-952 - [c162]Shokhjakon Abdufattokhov, Mario Zanon, Alberto Bemporad:
Learning Convex Terminal Costs for Complexity Reduction in MPC. CDC 2021: 2163-2168 - [c161]Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky:
An ADMM-based approach for multi-class recursive parameter estimation. CDC 2021: 5169-5174 - [c160]Mengjia Zhu, Alberto Bemporad, Dario Piga:
Preference-based MPC calibration. ECC 2021: 638-645 - [c159]Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga:
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IROS 2021: 1674-1681 - [c158]Laura Ferrarotti, Valentina Breschi, Alberto Bemporad:
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies. L4DC 2021: 87-98 - [i25]Vihangkumar V. Naik, Alberto Bemporad:
Exact and Heuristic Methods with Warm-start for Embedded Mixed-Integer Quadratic Programming Based on Accelerated Dual Gradient Projection. CoRR abs/2101.09264 (2021) - [i24]Alberto Bemporad:
Piecewise linear regression and classification. CoRR abs/2103.06189 (2021) - [i23]Daniele Masti, Daniele Bernardini, Alberto Bemporad:
A machine-learning approach to synthesize virtual sensors for parameter-varying systems. CoRR abs/2103.12324 (2021) - [i22]Niraj Rathod, Angelo Bratta, Michele Focchi, Mario Zanon, Octavio Villarreal, Claudio Semini, Alberto Bemporad:
Mobility-enhanced MPC for Legged Locomotion on Rough Terrain. CoRR abs/2105.05998 (2021) - [i21]Mengjia Zhu, Dario Piga, Alberto Bemporad:
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration. CoRR abs/2106.05639 (2021) - [i20]Liang Wu, Alberto Bemporad:
A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control. CoRR abs/2109.10205 (2021) - [i19]Alberto Bemporad:
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering. CoRR abs/2111.02673 (2021) - [i18]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of Input Disturbance Sets for Constrained Output Reachability. CoRR abs/2111.03009 (2021) - [i17]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Data-driven synthesis of Robust Invariant Sets and Controllers. CoRR abs/2111.09860 (2021) - [i16]Adeyemi D. Adeoye, Alberto Bemporad:
SC-Reg: Training Overparameterized Neural Networks under Self-Concordant Regularization. CoRR abs/2112.07344 (2021) - [i15]Alberto Bemporad:
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers. CoRR abs/2112.15348 (2021) - 2020
- [j93]Dario Piga, Alberto Bemporad, Alessio Benavoli:
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. 117: 109002 (2020) - [j92]Dario Piga, Valentina Breschi, Alberto Bemporad:
Estimation of jump Box-Jenkins models. Autom. 120: 109126 (2020) - [j91]Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky:
Cooperative constrained parameter estimation by ADMM-RLS. Autom. 121: 109175 (2020) - [j90]Alberto Bemporad:
Global optimization via inverse distance weighting and radial basis functions. Comput. Optim. Appl. 77(2): 571-595 (2020) - [j89]Daniel Arnström, Alberto Bemporad, Daniel Axehill:
Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming. IEEE Control. Syst. Lett. 4(4): 1036-1041 (2020) - [j88]Daniel Y. Rubin, Pedro Mercader, Per-Olof Gutman, Hoai-Nam Nguyen, Alberto Bemporad:
Interpolation based predictive control by ellipsoidal invariant sets. IFAC J. Syst. Control. 12: 100084 (2020) - [j87]Reza Takapoui, Nicholas Moehle, Stephen P. Boyd, Alberto Bemporad:
A simple effective heuristic for embedded mixed-integer quadratic programming. Int. J. Control 93(1): 2-12 (2020) - [j86]Sébastien Gros, Mario Zanon, Rien Quirynen, Alberto Bemporad, Moritz Diehl:
From linear to nonlinear MPC: bridging the gap via the real-time iteration. Int. J. Control 93(1): 62-80 (2020) - [j85]Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12(4): 637-672 (2020) - [j84]Nilay Saraf, Alberto Bemporad:
A Bounded-Variable Least-Squares Solver Based on Stable QR Updates. IEEE Trans. Autom. Control. 65(3): 1242-1247 (2020) - [c157]Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad:
NAW-NET: neural anti-windup control for saturated nonlinear systems. CDC 2020: 3335-3340 - [c156]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Direct data-driven design of neural reference governors. CDC 2020: 4955-4960 - [c155]Laura Ferrarotti, Alberto Bemporad:
Learning nonlinear feedback controllers from data via optimal policy search and stochastic gradient descent. CDC 2020: 4961-4966 - [c154]Sajid Mohamed, Nilay Saraf, Daniele Bernardini, Dip Goswami, Twan Basten, Alberto Bemporad:
Adaptive predictive control for pipelined multiprocessor image-based control systems considering workload variations. CDC 2020: 5236-5242 - [c153]Stella Simic, Alberto Bemporad, Omar Inverso, Mirco Tribastone:
Tight Error Analysis in Fixed-Point Arithmetic. IFM 2020: 318-336 - [i14]Mario Zanon, Alberto Bemporad:
Constrained Control and Observer Design by Inverse Optimality. CoRR abs/2003.10166 (2020) - [i13]Sebastien Gros, Mario Zanon, Alberto Bemporad:
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality? CoRR abs/2004.00915 (2020) - [i12]Alberto Bemporad, Gionata Cimini:
Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems. CoRR abs/2012.10423 (2020)
2010 – 2019
- 2019
- [j83]Gionata Cimini, Alberto Bemporad:
Complexity and convergence certification of a block principal pivoting method for box-constrained quadratic programs. Autom. 100: 29-37 (2019) - [j82]Pantelis Sopasakis, Domagoj Herceg, Alberto Bemporad, Panagiotis Patrinos:
Risk-averse model predictive control. Autom. 100: 281-288 (2019) - [j81]Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad:
Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. 3(3): 577-582 (2019) - [c152]Valentina Breschi, Dario Piga, Alberto Bemporad:
Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC 2019: 1532-1537 - [c151]Manas Mejari, Dario Piga, Roland Tóth, Alberto Bemporad:
Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. ECC 2019: 337-342 - [c150]Daniele Masti, Alberto Bemporad:
Learning binary warm starts for multiparametric mixed-integer quadratic programming. ECC 2019: 1494-1499 - [c149]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. ECC 2019: 2258-2263 - [c148]Laura Ferrarotti, Alberto Bemporad:
Synthesis of Optimal Feedback Controllers from Data via Stochastic Gradient Descent. ECC 2019: 2486-2491 - [c147]Daniele Masti, Daniele Bernardini, Alberto Bemporad:
Learning virtual sensors for estimating the scheduling signal of parameter-varying systems. MED 2019: 232-237 - [i11]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. CoRR abs/1904.04614 (2019) - [i10]Alberto Bemporad:
Global optimization via inverse distance weighting. CoRR abs/1906.06498 (2019) - [i9]Nilay Saraf, Alberto Bemporad:
An efficient non-condensed approach for linear and nonlinear model predictive control with bounded variables. CoRR abs/1908.07247 (2019) - [i8]Alberto Bemporad, Dario Piga:
Active preference learning based on radial basis functions. CoRR abs/1909.13049 (2019) - [i7]Marco Forgione, Dario Piga, Alberto Bemporad:
Efficient Calibration of Embedded MPC. CoRR abs/1911.13021 (2019) - 2018
- [j80]Zhen Liu, Lei Xie, Alberto Bemporad, Shan Lu:
Fast Linear Parameter Varying Model Predictive Control of Buck DC-DC Converters Based on FPGA. IEEE Access 6: 52434-52446 (2018) - [j79]Manas Mejari, Dario Piga, Alberto Bemporad:
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. Autom. 87: 128-141 (2018) - [j78]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting jump models. Autom. 96: 11-21 (2018) - [j77]Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad, Panagiotis Patrinos:
Uncertainty-aware demand management of water distribution networks in deregulated energy markets. Environ. Model. Softw. 101: 10-22 (2018) - [j76]Alberto Bemporad:
A Numerically Stable Solver for Positive Semidefinite Quadratic Programs Based on Nonnegative Least Squares. IEEE Trans. Autom. Control. 63(2): 525-531 (2018) - [j75]Mogens Graf Plessen, Daniele Bernardini, Hasan Esen, Alberto Bemporad:
Spatial-Based Predictive Control and Geometric Corridor Planning for Adaptive Cruise Control Coupled With Obstacle Avoidance. IEEE Trans. Control. Syst. Technol. 26(1): 38-50 (2018) - [j74]Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos:
GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. IEEE Trans. Control. Syst. Technol. 26(2): 551-562 (2018) - [j73]Dario Piga, Simone Formentin, Alberto Bemporad:
Direct Data-Driven Control of Constrained Systems. IEEE Trans. Control. Syst. Technol. 26(4): 1422-1429 (2018) - [c146]Robert A. E. Zidek, Ilya V. Kolmanovsky, Alberto Bemporad:
Stochastic MPC Approach to Drift Counteraction. ACC 2018: 721-727 - [c145]Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad:
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics. ACC 2018: 2727-2732 - [c144]Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd:
Prediction error methods in learning jump ARMAX models. CDC 2018: 2247-2252 - [c143]Manas Mejari, Vihangkumar V. Naik, Dario Piga, Alberto Bemporad:
Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. CDC 2018: 3116-3121 - [c142]Daniele Masti, Alberto Bemporad:
Learning Nonlinear State-Space Models Using Deep Autoencoders. CDC 2018: 3862-3867 - [c141]Puya Latafat