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Dario Paccagnan
Dario Paccagnan
Assistant Professor at Imperial College London (UK Lecturer)
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Nash and Wardrop equilibria in aggregative games with coupling constraints
D Paccagnan, B Gentile, F Parise, M Kamgarpour, J Lygeros
IEEE Transactions on Automatic Control 64 (4), 1373-1388, 2018
1262018
Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints
D Paccagnan, B Gentile, F Parise, M Kamgarpour, J Lygeros
2016 IEEE 55th conference on decision and control (CDC), 6123-6128, 2016
1052016
On Aggregative and Mean Field Games with Applications to Electricity Markets
D Paccagnan, M Kamgarpour, J Lygeros
European Control Conference, 2016
572016
Utility design for distributed resource allocation—part i: Characterizing and optimizing the exact price of anarchy
D Paccagnan, R Chandan, JR Marden
IEEE Transactions on Automatic Control 65 (11), 4616-4631, 2019
43*2019
Optimal taxes in atomic congestion games
D Paccagnan, R Chandan, BL Ferguson, JR Marden
ACM Transactions on Economics and Computation (TEAC) 9 (3), 1-33, 2021
42*2021
Utility design for distributed resource allocation—part II: applications to submodular, covering, and supermodular problems
D Paccagnan, JR Marden
IEEE Transactions on Automatic Control 67 (2), 618-632, 2021
23*2021
Multiagent maximum coverage problems: The tradeoff between anarchy and stability
V Ramaswamy, D Paccagnan, JR Marden
IEEE Transactions on Automatic Control 67 (4), 1698-1712, 2021
20*2021
The scenario approach meets uncertain game theory and variational inequalities
D Paccagnan, MC Campi
2019 IEEE 58th Conference on Decision and Control (CDC), 6124-6129, 2019
202019
When smoothness is not enough: Toward exact quantification and optimization of the price-of-anarchy
R Chandan, D Paccagnan, JR Marden
2019 IEEE 58th Conference on Decision and Control (CDC), 4041-4046, 2019
182019
On the range of feasible power trajectories for a population of thermostatically controlled loads
D Paccagnan, M Kamgarpour, J Lygeros
2015 54th IEEE conference on decision and control (CDC), 5883-5888, 2015
182015
Utility and mechanism design in multi-agent systems: An overview
D Paccagnan, R Chandan, JR Marden
Annual Reviews in Control 53, 315-328, 2022
172022
Computing optimal taxes in atomic congestion games
R Chandan, D Paccagnan, BL Ferguson, JR Marden
Proceedings of the 14th Workshop on the Economics of Networks, Systems and …, 2019
122019
Urgency-aware optimal routing in repeated games through artificial currencies
M Salazar, D Paccagnan, A Agazzi, WM Heemels
European Journal of Control 62, 22-32, 2021
112021
In congestion games, taxes achieve optimal approximation
D Paccagnan, M Gairing
Proceedings of the 22nd ACM Conference on Economics and Computation, 743-744, 2021
112021
IMU Calibration and Validation in a Factory, Remote on Land and at Sea
MJ Jørgensen, D Paccagnan, NK Poulsen, MB Larsen
2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014, 1384-1391, 2014
112014
Assign and appraise: achieving optimal performance in collaborative teams
EY Huang, D Paccagnan, W Mei, F Bullo
IEEE Transactions on Automatic Control 68 (3), 1614-1627, 2022
82022
Stochastic strategies for robotic surveillance as stackelberg games
X Duan, D Paccagnan, F Bullo
IEEE Transactions on Control of Network Systems 8 (2), 769-780, 2021
82021
Optimal price of anarchy in cost-sharing games
R Chandan, D Paccagnan, JR Marden
2019 American Control Conference (ACC), 2277-2282, 2019
82019
On the Efficiency of Nash Equilibria in Aggregative Charging Games
D Paccagnan, F Parise, J Lygeros
IEEE Control Systems Letters, 2018
82018
Tractable mechanisms for computing near-optimal utility functions
R Chandan, D Paccagnan, JR Marden
arXiv preprint arXiv:2102.04542, 2021
72021
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