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Mario Zanon
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- affiliation: Chalmers University
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2020 – today
- 2024
- [j36]Arash Bahari Kordabad
, Mario Zanon
Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control. IEEE Trans. Autom. Control. 69(2): 1149-1156 (2024) - [j35]Alessandro Colombo
Simultaneously Stabilizing Networked Systems With Minimal Communication. IEEE Trans. Autom. Control. 69(6): 3589-3601 (2024) - [j34]Sampath Kumar Mulagaleti
Computation of Safe Disturbance Sets Using Implicit RPI Sets. IEEE Trans. Autom. Control. 69(7): 4443-4458 (2024) - [i34]Muhammad Faris, Mario Zanon, Paolo Falcone:
Optimization-based Heuristic for Vehicle Dynamic Coordination in Mixed Traffic Intersections. CoRR abs/2404.14048 (2024) - [i33]Mikalai Korbit, Adeyemi D. Adeoye
Exact Gauss-Newton Optimization for Training Deep Neural Networks. CoRR abs/2405.14402 (2024) - [i32]Mikalai Korbit, Mario Zanon:
Incremental Gauss-Newton Descent for Machine Learning. CoRR abs/2408.05560 (2024) - 2023
- [j33]Matteo Facchino
Tracking MPC Tuning in Continuous Time: A First-Order Approximation of Economic MPC. IEEE Control. Syst. Lett. 7: 2197-2202 (2023) - [j32]Sampath Kumar Mulagaleti
Computation of Input Disturbance Sets for Constrained Output Reachability. IEEE Trans. Autom. Control. 68(6): 3573-3580 (2023) - [j31]Ivo Batkovic
Safe Trajectory Tracking in Uncertain Environments. IEEE Trans. Autom. Control. 68(7): 4204-4217 (2023) - [j30]Ivo Batkovic
Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments. IEEE Trans. Control. Syst. Technol. 31(5): 2027-2042 (2023) - [c36]Masoud Bahraini, Mario Zanon, Alessandro Colombo, Paolo Falcone:
Communication Demand Minimization for Perturbed Networked Control Systems with Coupled Constraints. CDC 2023: 3468-3473 - [c35]Morten Wahlgreen Kaysfeld, Mario Zanon, John Bagterp Jørgensen:
Performance Quantification of a Nonlinear Model Predictive Controller by Parallel Monte Carlo Simulations of a Closed-loop System. ECC 2023: 1-6 - [i31]Ivo Batkovic, Ankit Gupta, Mario Zanon, Paolo Falcone:
Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments. CoRR abs/2305.03312 (2023) - [i30]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of safe disturbance sets using implicit RPI sets. CoRR abs/2309.06079 (2023) - [i29]Pablo Krupa, Mario Zanon, Alberto Bemporad:
Learning disturbance models for offset-free reference tracking. CoRR abs/2312.11409 (2023) - 2022
- [j29]Mario Zanon, Sébastien Gros:
A new dissipativity condition for asymptotic stability of discounted economic MPC. Autom. 141: 110287 (2022) - [j28]Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-constrained Markov Decision Processes using MPC. Autom. 143: 110399 (2022) - [j27]Sebastien Gros, Mario Zanon:
Learning for MPC with stability & safety guarantees. Autom. 146: 110598 (2022) - [j26]Sebastien Gros, Mario Zanon:
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control. Autom. 146: 110602 (2022) - [j25]Daniele Masti
Tuning LQR Controllers: A Sensitivity-Based Approach. IEEE Control. Syst. Lett. 6: 932-937 (2022) - [j24]Sampath Kumar Mulagaleti
Data-Driven Synthesis of Robust Invariant Sets and Controllers. IEEE Control. Syst. Lett. 6: 1676-1681 (2022) - [j23]Joseph Chadi Lemaitre
Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study. PLoS Comput. Biol. 18(7) (2022) - [j22]Masoud Bahraini
Scheduling and Robust Invariance in Networked Control Systems. IEEE Trans. Autom. Control. 67(6): 3075-3082 (2022) - [j21]Mario Zanon
Constrained Controller and Observer Design by Inverse Optimality. IEEE Trans. Autom. Control. 67(10): 5432-5439 (2022) - [j20]Sampath Kumar Mulagaleti
Input Constraint Sets for Robust Regulation of Linear Systems. IEEE Trans. Autom. Control. 67(10): 5533-5540 (2022) - [j19]Robert Hult
A Semidistributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections. IEEE Trans. Control. Syst. Technol. 30(5): 1977-1989 (2022) - [c34]Stefano Menchetti, Mario Zanon, Alberto Bemporad:
Linear Observer Learning by Temporal Difference. CDC 2022: 2777-2782 - [c33]Masoud Bahraini, Alessandro Colombo, Mario Zanon, Paolo Falcone:
Robust Control Invariance for Networked Control Systems with Output Feedback. CDC 2022: 7676-7681 - [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]Arash Bahari Kordabad, Mario Zanon, Sebastien Gros:
Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control. CoRR abs/2210.04302 (2022) - [i26]Morten Ryberg Wahlgreen, John Bagterp Jørgensen, Mario Zanon:
Model Predictive Control Tuning by Monte Carlo Simulation and Controller Matching. CoRR abs/2212.02142 (2022) - [i25]Morten Wahlgreen Kaysfeld, Mario Zanon, John Bagterp Jørgensen:
Performance Quantification of a Nonlinear Model Predictive Controller by Parallel Monte Carlo Simulations of a Closed-loop System. CoRR abs/2212.02197 (2022) - 2021
- [j18]Niraj Rathod
Model Predictive Control With Environment Adaptation for Legged Locomotion. IEEE Access 9: 145710-145727 (2021) - [j17]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) - [j16]Masoud Bahraini
Optimal Control Design for Perturbed Constrained Networked Control Systems. IEEE Control. Syst. Lett. 5(2): 553-558 (2021) - [j15]Ivo Batkovic
A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles. IEEE Control. Syst. Lett. 5(3): 947-952 (2021) - [j14]Mario Zanon
Safe Reinforcement Learning Using Robust MPC. IEEE Trans. Autom. Control. 66(8): 3638-3652 (2021) - [j13]Mario Zanon
A Gauss-Newton-Like Hessian Approximation for Economic NMPC. IEEE Trans. Autom. Control. 66(9): 4206-4213 (2021) - [c32]Sébastien Gros, Mario Zanon:
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method. ACC 2021: 1947-1952 - [c31]Sébastien Gros, Mario Zanon:
Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies. ACC 2021: 2543-2548 - [c30]Shokhjakon Abdufattokhov
Learning Convex Terminal Costs for Complexity Reduction in MPC. CDC 2021: 2163-2168 - [c29]Mario Zanon, Sébastien Gros:
On the Similarity Between Two Popular Tube MPC Formulations. ECC 2021: 651-656 - [i24]Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-Constrained Markov Decision Processes Using MPC. CoRR abs/2102.01383 (2021) - [i23]Sébastien Gros, Mario Zanon:
A Dissipativity Theory for Undiscounted Markov Decision Processes. CoRR abs/2104.10997 (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]Mario Zanon, Sébastien Gros:
A New Dissipativity Condition for Asymptotic Stability of Discounted Economic MPC. CoRR abs/2106.09377 (2021) - [i20]Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon:
Model Predictive Control with Infeasible Reference Trajectories. CoRR abs/2109.04846 (2021) - [i19]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of Input Disturbance Sets for Constrained Output Reachability. CoRR abs/2111.03009 (2021) - [i18]Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Data-driven synthesis of Robust Invariant Sets and Controllers. CoRR abs/2111.09860 (2021) - [i17]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections. CoRR abs/2111.10125 (2021) - 2020
- [j12]Jochem De Schutter, Mario Zanon, Moritz Diehl:
TuneMPC - A Tool for Economic Tuning of Tracking (N)MPC Problems. IEEE Control. Syst. Lett. 4(4): 910-915 (2020) - [j11]Sébastien Gros
From linear to nonlinear MPC: bridging the gap via the real-time iteration. Int. J. Control 93(1): 62-80 (2020) - [j10]Sébastien Gros
Data-Driven Economic NMPC Using Reinforcement Learning. IEEE Trans. Autom. Control. 65(2): 636-648 (2020) - [i16]Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon:
Safe Trajectory Tracking in Uncertain Environments. CoRR abs/2001.11602 (2020) - [i15]Mario Zanon, Alberto Bemporad:
Constrained Control and Observer Design by Inverse Optimality. CoRR abs/2003.10166 (2020) - [i14]Sebastien Gros, Mario Zanon, Alberto Bemporad:
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality? CoRR abs/2004.00915 (2020) - [i13]Sebastien Gros, Mario Zanon:
Reinforcement Learning for Mixed-Integer Problems Based on MPC. CoRR abs/2004.01430 (2020) - [i12]Mario Zanon, Vyacheslav Kungurtsev, Sébastien Gros:
Reinforcement Learning Based on Real-Time Iteration NMPC. CoRR abs/2005.05225 (2020) - [i11]Masoud Bahraini, Mario Zanon, Paolo Falcone, Alessandro Colombo:
Robust Control Invariance and Communication Scheduling in Lossy Wireless Networked Control Systems. CoRR abs/2005.06094 (2020) - [i10]Mario Zanon:
A Gauss-Newton-Like Hessian Approximation for Economic NMPC. CoRR abs/2007.13519 (2020) - [i9]Timm Faulwasser, Mario Zanon:
Primal or Dual Terminal Constraints in Economic MPC? - Comparison and Insights. CoRR abs/2007.14306 (2020) - [i8]Sébastien Gros, Mario Zanon:
Safe Reinforcement Learning with Stability & Safety Guarantees Using Robust MPC. CoRR abs/2012.07369 (2020)
2010 – 2019
- 2019
- [j9]Robert Hult
Optimal Coordination of Automated Vehicles at Intersections: Theory and Experiments. IEEE Trans. Control. Syst. Technol. 27(6): 2510-2525 (2019) - [j8]Josip Vasilj
Day-Ahead Scheduling and Real-Time Economic MPC of CHP Unit in Microgrid With Smart Buildings. IEEE Trans. Smart Grid 10(2): 1992-2001 (2019) - [c28]Sungho Shin
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. CDC 2019: 5264-5271 - [c27]Robert Hult, Mario Zanon, Sébastien Gros, Paolo Falcone
Optimal Coordination of Automated Vehicles at Intersections with Turns. ECC 2019: 225-230 - [c26]Ivo Batkovic
Real-Time Constrained Trajectory Planning and Vehicle Control for Proactive Autonomous Driving With Road Users. ECC 2019: 256-262 - [c25]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. ECC 2019: 2258-2263 - [c24]Masoud Bahraini, Mario Zanon, Alessandro Colombo, Paolo Falcone
Receding-horizon robust online communication scheduling for constrained networked control systems. ECC 2019: 2969-2974 - [i7]Ivo Batkovic, Mario Zanon, Mohammad Ali, Paolo Falcone:
Real-Time Constrained Trajectory Planning and Vehicle Control for Proactive Autonomous Driving With Road Users. CoRR abs/1903.07743 (2019) - [i6]Sébastien Gros, Mario Zanon:
Data-driven Economic NMPC using Reinforcement Learning. CoRR abs/1904.04152 (2019) - [i5]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. CoRR abs/1904.04614 (2019) - [i4]Mario Zanon, Sébastien Gros:
Safe Reinforcement Learning Using Robust MPC. CoRR abs/1906.04005 (2019) - [i3]Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part II - Deterministic Case. CoRR abs/1906.04034 (2019) - [i2]Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part I - Stochastic case. CoRR abs/1906.04057 (2019) - 2018
- [j7]Mario Zanon
Optimal Scheduling of Downlink Communication for a Multi-Agent System With a Central Observation Post. IEEE Control. Syst. Lett. 2(1): 37-42 (2018) - [j6]Sebastien Gros
Numerical Optimal Control With Periodicity Constraints in the Presence of Invariants. IEEE Trans. Autom. Control. 63(9): 2818-2832 (2018) - [c23]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone
An MIQP-based heuristic for Optimal Coordination of Vehicles at Intersections. CDC 2018: 2783-2790 - [c22]Elena C. Malz, Mario Zanon, Sebastien Gros
A Quantification of the Performance Loss of Power Averaging in Airborne Wind Energy Farms. ECC 2018: 58-63 - [c21]Ivo Batkovic
A Computationally Efficient Model for Pedestrian Motion Prediction. ECC 2018: 374-379 - [c20]Robert Hult, Mario Zanon, Sebastien Gros
Energy-Optimal Coordination of Autonomous Vehicles at Intersections. ECC 2018: 602-607 - [c19]Jiahe Shi, Yi Zheng, Yuning Jiang
Distributed control algorithm for vehicle coordination at traffic intersections. ECC 2018: 1166-1171 - [c18]Mario Zanon, Robert Hult, Sebastien Gros
Experimental Validation of Distributed Optimal Vehicle Coordination. ECC 2018: 1511-1516 - [c17]Mohammad A. Nazari, Ayça Özçelikkale, Mario Zanon, Themistoklis Charalambous
Impact of Communication Frequency on Remote Control of Automated Vehicles. PIMRC 2018: 96-100 - [i1]Ivo Batkovic, Mario Zanon, Nils Lubbe, Paolo Falcone:
A Computationally Efficient Model for Pedestrian Motion Prediction. CoRR abs/1803.04702 (2018) - 2017
- [j5]Robin Verschueren, Mario Zanon, Rien Quirynen, Moritz Diehl:
A Sparsity Preserving Convexification Procedure for Indefinite Quadratic Programs Arising in Direct Optimal Control. SIAM J. Optim. 27(3): 2085-2109 (2017) - [j4]Mario Zanon
Periodic Optimal Control, Dissipativity and MPC. IEEE Trans. Autom. Control. 62(6): 2943-2949 (2017) - [j3]Sebastien Gros
Penalty Functions for Handling Large Deviation of Quadrature States in NMPC. IEEE Trans. Autom. Control. 62(8): 3848-3860 (2017) - [c16]Themistoklis Charalambous
On the resource allocation problem in wireless networked control systems. CDC 2017: 4147-4154 - 2016
- [j2]Karl Worthmann
Model Predictive Control of Nonholonomic Mobile Robots Without Stabilizing Constraints and Costs. IEEE Trans. Control. Syst. Technol. 24(4): 1394-1406 (2016) - [c15]Robert Hult, Mario Zanon
Primal decomposition of the optimal coordination of vehicles at traffic intersections. CDC 2016: 2567-2573 - [c14]Robin Verschueren, Mario Zanon
Time-optimal race car driving using an online exact hessian based nonlinear MPC algorithm. ECC 2016: 141-147 - 2015
- [c13]Sebastien Gros
Baumgarte stabilisation over the SO(3) rotation group for control. CDC 2015: 620-625 - [c12]Adeleh Mohammadi, Moritz Diehl, Mario Zanon
Estimation of uncertain ARX models with ellipsoidal parameter variability. ECC 2015: 1766-1771 - [c11]Rien Quirynen, Mario Zanon
A compression algorithm for real-time distributed nonlinear MPC. ECC 2015: 3422-3427 - 2014
- [c10]Robin Verschueren, Stijn De Bruyne, Mario Zanon
Towards time-optimal race car driving using nonlinear MPC in real-time. CDC 2014: 2505-2510 - [c9]Mario Zanon
Local properties of economic NMPC, dissipativity and dynamic programming. CDC 2014: 2746-2751 - [c8]Mario Zanon
Control of Dual-Airfoil Airborne Wind Energy systems based on nonlinear MPC and MHE. ECC 2014: 1801-1806 - 2013
- [j1]Mario Zanon
Airborne Wind Energy Based on Dual Airfoils. IEEE Trans. Control. Syst. Technol. 21(4): 1215-1222 (2013) - [c7]Mario Zanon
A Lyapunov function for periodic economic optimizing Model Predictive Control. CDC 2013: 5107-5112 - [c6]Sebastien Gros, Mario Zanon, Moritz Diehl:
A relaxation strategy for the optimization of Airborne Wind Energy systems. ECC 2013: 1011-1016 - [c5]Sebastien Gros, Mario Zanon, Moritz Diehl:
Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control & Moving Horizon Estimation. ECC 2013: 1017-1022 - [c4]Mario Zanon, Sebastien Gros, Moritz Diehl:
Rotational start-up of tethered airplanes based on nonlinear MPC and MHE. ECC 2013: 1023-1028 - [c3]Mario Zanon, Janick V. Frasch, Moritz Diehl:
Nonlinear Moving Horizon Estimation for combined state and friction coefficient estimation in autonomous driving. ECC 2013: 4130-4135 - [c2]Janick V. Frasch, Andrew Gray, Mario Zanon, Hans Joachim Ferreau, Sebastian Sager, Francesco Borrelli
An auto-generated nonlinear MPC algorithm for real-time obstacle avoidance of ground vehicles. ECC 2013: 4136-4141 - 2012
- [c1]Sebastien Gros, Mario Zanon, Moritz Diehl:
Orbit control for a power generating airfoil based on nonlinear MPC. ACC 2012: 137-142
Coauthor Index
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last updated on 2024-12-10 20:41 CET by the dblp team
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