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ORCIDDante Kalise
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2020 – today
- 2025
[i21]Dante Kalise, Lucas M. Moschen, Grigorios A. Pavliotis, Urbain Vaes:
A Spectral Approach to Optimal Control of the Fokker-Planck Equation. CoRR abs/2503.15125 (2025)- [i20]Sara Bicego, Samuel Gue, Dante Kalise, Nelly Villamizar:
Time-optimal neural feedback control of nilpotent systems as a binary classification problem. CoRR abs/2503.17581 (2025) - 2024
- [i19]Dante Kalise
, Estefanía Loayza-Romero, Kirsten A. Morris, Zhengang Zhong:
Multi-level Optimal Control with Neural Surrogate Models. CoRR abs/2402.07763 (2024) - [i18]Giacomo Albi, Sara Bicego, Michael Herty, Yuyang Huang, Dante Kalise, Chiara Segala:
Data/moment-driven approaches for fast predictive control of collective dynamics. CoRR abs/2402.15611 (2024) - [i17]Sara Bicego, Dante Kalise, Grigorios A. Pavliotis:
Computation and Control of Unstable Steady States for Mean Field Multiagent Systems. CoRR abs/2406.11725 (2024) - [i16]Carlos Doebeli, Alessandro Astolfi, Dante Kalise, Alessio Moreschini, Giordano Scarciotti, Joel D. Simard:
A polynomial approximation scheme for nonlinear model reduction by moment matching. CoRR abs/2412.13371 (2024) - 2023
- [j22]Alessandro Alla, Dante Kalise, Valeria Simoncini:
State-dependent Riccati equation feedback stabilization for nonlinear PDEs. Adv. Comput. Math. 49(1): 9 (2023) - [j21]Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. 45(5): 2153- (2023) - [c4]Mario Sperl, Luca Saluzzi, Lars Grüne, Dante Kalise:
Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption. CDC 2023: 259-264 - [i15]Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Statistical Proper Orthogonal Decomposition for model reduction in feedback control. CoRR abs/2311.16332 (2023) - 2022
- [j20]Giacomo Albi, Sara Bicego, Dante Kalise:
Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-Dependent Riccati Equations. IEEE Control. Syst. Lett. 6: 836-841 (2022) - [j19]Mohammad Sajjad Edalatzadeh, Dante Kalise, Kirsten A. Morris, Kevin Sturm:
Optimal Actuator Design for the Euler-Bernoulli Vibration Model Based on LQR Performance and Shape Calculus. IEEE Control. Syst. Lett. 6: 1334-1339 (2022) - [j18]Giacomo Albi, Michael Herty, Dante Kalise, Chiara Segala:
Moment-Driven Predictive Control of Mean-Field Collective Dynamics. SIAM J. Control. Optim. 60(2): 814-841 (2022) - [j17]José A. Carrillo, Dante Kalise, Francesco Rossi, Emmanuel Trélat:
Controlling Swarms toward Flocks and Mills. SIAM J. Control. Optim. 60(3): 1863-1891 (2022) - [i14]Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control. CoRR abs/2202.11801 (2022) - [i13]Dante Kalise, Akash Sharma, Michael V. Tretyakov:
Consensus based optimization via jump-diffusion stochastic differential equations. CoRR abs/2205.04880 (2022) - [i12]Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Data-driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. CoRR abs/2205.05109 (2022) - 2021
- [j16]Behzad Azmi, Dante Kalise, Karl Kunisch:
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression. J. Mach. Learn. Res. 22: 48:1-48:32 (2021) - [j15]Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi:
Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic. PLoS Comput. Biol. 17(8) (2021) - [j14]Sergey Dolgov, Dante Kalise, Karl Kunisch:
Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. 43(3): A1625-A1650 (2021) - [i11]Giacomo Albi, Michael Herty, Dante Kalise, Chiara Segala:
Moment-Driven Predictive Control of Mean-Field Collective Dynamics. CoRR abs/2101.01970 (2021) - [i10]Young-Pil Choi, Dante Kalise, Andrés A. Peters:
Collisionless and Decentralized Formation Control for Strings. CoRR abs/2102.13621 (2021) - [i9]Giacomo Albi, Sara Bicego, Dante Kalise:
Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations. CoRR abs/2103.04091 (2021) - [i8]Alessandro Alla, Dante Kalise, Valeria Simoncini:
State-dependent Riccati equation feedback stabilization for nonlinear PDEs. CoRR abs/2106.07163 (2021) - 2020
- [j13]Dante Kalise, Sudeep Kundu, Karl Kunisch:
Robust Feedback Control of Nonlinear PDEs by Numerical Approximation of High-Dimensional Hamilton-Jacobi-Isaacs Equations. SIAM J. Appl. Dyn. Syst. 19(2): 1496-1524 (2020)
2010 – 2019
- 2019
- [j12]Young-Pil Choi, Dante Kalise, Jan Peszek, Andrés A. Peters:
A Collisionless Singular Cucker-Smale Model with Decentralized Formation Control. SIAM J. Appl. Dyn. Syst. 18(4): 1954-1981 (2019) - [i7]Sergey Dolgov, Dante Kalise, Karl Kunisch:
A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations. CoRR abs/1908.01533 (2019) - 2018
- [j11]Luis M. Briceño-Arias, Dante Kalise, Francisco J. Silva:
Proximal Methods for Stationary Mean Field Games with Local Couplings. SIAM J. Control. Optim. 56(2): 801-836 (2018) - [j10]Dante Kalise, Karl Kunisch:
Polynomial Approximation of High-Dimensional Hamilton-Jacobi-Bellman Equations and Applications to Feedback Control of Semilinear Parabolic PDEs. SIAM J. Sci. Comput. 40(2) (2018) - [c3]Michael Herty, Dante Kalise:
Suboptimal nonlinear feedback control laws for collective dynamics. ICCA 2018: 556-561 - [i6]Young-Pil Choi, Dante Kalise, Jan Peszek, Andrés A. Peters:
A collisionless singular Cucker-Smale model with decentralized formation control. CoRR abs/1807.05177 (2018) - [i5]Dante Kalise, Karl Kunisch, Zhiping Rao:
Sparse and Switching Infinite Horizon Optimal Control with Nonconvex Penalizations. CoRR abs/1808.10659 (2018) - 2017
- [j9]Dante Kalise, Karl Kunisch, Zhiping Rao:
Infinite Horizon Sparse Optimal Control. J. Optim. Theory Appl. 172(2): 481-517 (2017) - 2016
- [j8]Giacomo Albi, Mattia Bongini, Emiliano Cristiani, Dante Kalise:
Invisible Control of Self-Organizing Agents Leaving Unknown Environments. SIAM J. Appl. Math. 76(4): 1683-1710 (2016) - [j7]Dante Kalise, Axel Kröner, Karl Kunisch:
Local Minimization Algorithms for Dynamic Programming Equations. SIAM J. Sci. Comput. 38(3) (2016) - [j6]Esteban J. Fuentes, Dante Kalise, Ralph M. Kennel:
Smoothened Quasi-Time-Optimal Control for the Torsional Torque in a Two-Mass System. IEEE Trans. Ind. Electron. 63(6): 3954-3963 (2016) - 2015
- [j5]Alessandro Alla, Maurizio Falcone, Dante Kalise:
An Efficient Policy Iteration Algorithm for Dynamic Programming Equations. SIAM J. Sci. Comput. 37(1) (2015) - [i4]Dante Kalise, Axel Kröner, Karl Kunisch:
Local minimization algorithms for dynamic programming equations. CoRR abs/1502.07193 (2015) - 2014
- [j4]Esteban J. Fuentes, Dante Kalise, José R. Rodríguez, Ralph M. Kennel:
Cascade-Free Predictive Speed Control for Electrical Drives. IEEE Trans. Ind. Electron. 61(5): 2176-2184 (2014) - 2013
- [c2]Alessandro Alla, Maurizio Falcone, Dante Kalise:
An Accelerated Value/Policy Iteration Scheme for Optimal Control Problems and Games. ENUMATH 2013: 489-497 - [c1]Maurizio Falcone, Dante Kalise:
A High-Order Semi-Lagrangian/Finite Volume Scheme for Hamilton-Jacobi-Isaacs Equations. System Modelling and Optimization 2013: 105-117 - 2012
- [j3]Dante Kalise, Ivar Lie:
Modeling and numerical approximation of a 2.5D set of equations for mesoscale atmospheric processes. J. Comput. Phys. 231(21): 7274-7298 (2012) - 2011
- [j2]Erwin Hernández, Dante Kalise, Enrique Otárola:
A locking-free scheme for the LQR control of a Timoshenko beam. J. Comput. Appl. Math. 235(5): 1383-1393 (2011) - [i3]Dante Kalise, Ivar Lie, Eleuterio F. Toro:
High-order finite volume schemes for layered atmospheric models. CoRR abs/1110.6834 (2011) - [i2]Dante Kalise:
A study of a WENO-TVD finite volume scheme for the numerical simulation of atmospheric advective and convective phenomena. CoRR abs/1111.1712 (2011) - [i1]Dante Kalise, Ivar Lie:
Modelling and numerical approximation of a 2.5D set of equations for mesoscale atmospheric processes. CoRR abs/1111.2267 (2011) - 2010
- [j1]Erwin Hernández, Dante Kalise, Enrique Otárola:
Numerical approximation of the LQR problem in a strongly damped wave equation. Comput. Optim. Appl. 47(1): 161-178 (2010)
Coauthor Index
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