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).
Leader–Follower Density Control of Spatial Dynamics in Large-Scale Multiagent Systems
Gian Carlo Maffettone, Alain Boldini, Maurizio Porfiri and Mario di Bernardo IEEE Transactions on Automatic Control 70(10) 6783 (2025) https://doi.org/10.1109/TAC.2025.3565927
PDE-constrained optimal control of a leader–follower opinion formation model
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
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
Mean-Field Selective Optimal Control via Transient Leadership
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
One-dimensional multi-agent optimal control with aggregation and distance constraints: qualitative properties and mean-field limit
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
Optimal control of multiagent systems in the Wasserstein space
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
Instantaneous control of interacting particle systems in the mean-field limit
Martin Burger, René Pinnau, Claudia Totzeck, Oliver Tse and Andreas Roth Journal of Computational Physics 405 109181 (2020) https://doi.org/10.1016/j.jcp.2019.109181
Optimization Problems for Interacting Particle Systems and Corresponding Mean‐field Limits
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
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
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
Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives
G. Albi, N. Bellomo, L. Fermo, S.-Y. Ha, J. Kim, L. Pareschi, D. Poyato and J. Soler Mathematical Models and Methods in Applied Sciences 29(10) 1901 (2019) https://doi.org/10.1142/S0218202519500374
The Pontryagin Maximum Principle in the Wasserstein Space
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 84 239 (2018) https://doi.org/10.1007/978-3-319-56436-4_4
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
Selective model-predictive control for flocking systems
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
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