The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Mean field games of controls with Dirichlet boundary conditions
Mattia Bongini and Francesco Salvarani ESAIM: Control, Optimisation and Calculus of Variations 30 32 (2024) https://doi.org/10.1051/cocv/2024020
Learning Swarm Interaction Dynamics From Density Evolution
Christos N. Mavridis, Amoolya Tirumalai and John S. Baras IEEE Transactions on Control of Network Systems 10(1) 214 (2023) https://doi.org/10.1109/TCNS.2022.3198784
A measure theoretical approach to the mean-field maximum principle for training NeurODEs
Randa Herzallah, David Lowe and Yazan Qarout IEEE Transactions on Systems, Man, and Cybernetics: Systems 52(7) 4470 (2022) https://doi.org/10.1109/TSMC.2021.3096133
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)
Huageng Liu and Donghua Shi Lecture Notes in Electrical Engineering, Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) 861 2066 (2022) https://doi.org/10.1007/978-981-16-9492-9_204
Linear-Quadratic Problems of Optimal Control in the Space of Probabilities
Moment-Driven Predictive Control of Mean-Field Collective Dynamics
Giacomo Albi, Michael Herty, Dante Kalise and Chiara Segala SIAM Journal on Control and Optimization 60(2) 814 (2022) https://doi.org/10.1137/21M1391559
Pseudospectral methods and iterative solvers for optimization problems from multiscale particle dynamics
Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures
Martin Burger, René Pinnau, Claudia Totzeck and Oliver Tse SIAM Journal on Control and Optimization 59(2) 977 (2021) https://doi.org/10.1137/19M1249461
Crowd Dynamics, Volume 3
Giacomo Albi, Federica Ferrarese and Chiara Segala Modeling and Simulation in Science, Engineering and Technology, Crowd Dynamics, Volume 3 97 (2021) https://doi.org/10.1007/978-3-030-91646-6_5
Adjoint DSMC for nonlinear Boltzmann equation constrained optimization
Optimal control of multiagent systems in the Wasserstein space
Chloé Jimenez, Antonio Marigonda and Marc Quincampoix Calculus of Variations and Partial Differential Equations 59(2) (2020) https://doi.org/10.1007/s00526-020-1718-6
Crowd Dynamics, Volume 2
Giacomo Albi, Emiliano Cristiani, Lorenzo Pareschi and Daniele Peri Modeling and Simulation in Science, Engineering and Technology, Crowd Dynamics, Volume 2 159 (2020) https://doi.org/10.1007/978-3-030-50450-2_8
Crowd Dynamics, Volume 2
M. K. Banda, M. Herty and T. Trimborn Modeling and Simulation in Science, Engineering and Technology, Crowd Dynamics, Volume 2 133 (2020) https://doi.org/10.1007/978-3-030-50450-2_7
Robust Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Secured Free Scale Networks against Malicious Attacks
Maxim Staritsyn and Nikolay Pogodaev Communications in Computer and Information Science, Optimization and Applications 974 367 (2019) https://doi.org/10.1007/978-3-030-10934-9_26
Leader formation with mean-field birth and death models
Giacomo Albi, Mattia Bongini, Francesco Rossi and Francesco Solombrino Mathematical Models and Methods in Applied Sciences 29(04) 633 (2019) https://doi.org/10.1142/S0218202519400025
Approximate and Exact Controllability of the Continuity Equation with a Localized Vector Field
Michel Duprez, Morgan Morancey and Francesco Rossi SIAM Journal on Control and Optimization 57(2) 1284 (2019) https://doi.org/10.1137/17M1152917
Sparse Control of Hegselmann--Krause Models: Black Hole and Declustering
Benedetto Piccoli, Nastassia Pouradier Duteil and Emmanuel Trélat SIAM Journal on Control and Optimization 57(4) 2628 (2019) https://doi.org/10.1137/18M1168911
Mean-field optimal control as Gamma-limit of finite agent controls
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 323 (2018) https://doi.org/10.1007/978-3-319-56436-4_5
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 155 (2018) https://doi.org/10.1007/978-3-319-56436-4_3
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 107 (2018) https://doi.org/10.1007/978-3-319-56436-4_2
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 447 (2018) https://doi.org/10.1007/978-3-319-56436-4_6
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 3 (2018) https://doi.org/10.1007/978-3-319-56436-4_1
Performance Bounds on Spatial Coverage Tasks by Stochastic Robotic Swarms
Fangbo Zhang, Andrea L. Bertozzi, Karthik Elamvazhuthi and Spring Berman IEEE Transactions on Automatic Control 63(6) 1563 (2018) https://doi.org/10.1109/TAC.2017.2747769
Probabilistic Theory of Mean Field Games with Applications II
René Carmona and François Delarue Probability Theory and Stochastic Modelling, Probabilistic Theory of Mean Field Games with Applications II 84 541 (2018) https://doi.org/10.1007/978-3-319-56436-4_7
Inferring interaction rules from observations of evolutive systems I: The variational approach
Mattia Bongini, Massimo Fornasier, Markus Hansen and Mauro Maggioni Mathematical Models and Methods in Applied Sciences 27(05) 909 (2017) https://doi.org/10.1142/S0218202517500208
Performance bounds for the mean-field limit of constrained dynamics
Aylin Aydoğdu, Marco Caponigro, Sean McQuade, et al. Modeling and Simulation in Science, Engineering and Technology, Active Particles, Volume 1 99 (2017) https://doi.org/10.1007/978-3-319-49996-3_3
A Boltzmann approach to mean-field sparse feedback control
Giacomo Albi, Lorenzo Pareschi, Giuseppe Toscani and Mattia Zanella Modeling and Simulation in Science, Engineering and Technology, Active Particles, Volume 1 49 (2017) https://doi.org/10.1007/978-3-319-49996-3_2
Mattia Bongini, Massimo Fornasier, Francesco Rossi and Francesco Solombrino Journal of Optimization Theory and Applications 175(1) 1 (2017) https://doi.org/10.1007/s10957-017-1149-5
Invisible Control of Self-Organizing Agents Leaving Unknown Environments
Giacomo Albi, Mattia Bongini, Emiliano Cristiani and Dante Kalise SIAM Journal on Applied Mathematics 76(4) 1683 (2016) https://doi.org/10.1137/15M1017016
(Un)conditional consensus emergence under perturbed and decentralized feedback controls