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Items where Author is "Salhab, Rabih"

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Number of items: 11.

K

Kizilkale, A. C., Salhab, R., & Malhamé, R. P. (2019). An integral control formulation of mean field game based large scale coordination of loads in smart grids. Automatica, 100, 312-322. External link

S

Salhab, R., Le Ny, J., Malhamé, R. P., & Zaccour, G. (2022). Dynamic marketing policies with rating-sensitive consumers: A mean-field games approach. European Journal of Operational Research, 299(3), 1079-1093. External link

Salhab, R., Malhamé, R. P., & Le Ny, J. (2020). Collective Stochastic Discrete Choice Problems: A Min-LQG Dynamic Game Formulation. IEEE Transactions on Automatic Control, 65(8), 3302-3316. External link

Salhab, R., Malhamé, R. P., & Le Ny, J. (2018). A dynamic game model of collective choice in multi-agent systems. IEEE Transactions on Automatic Control, 63(3), 768-782. Available

Salhab, R. (2018). Collective Stochastic Discrete Choice Problems: A MIN-LQG Game Formulation [Ph.D. thesis, École Polytechnique de Montréal]. Available

Salhab, R., Malhamé, R. P., & Le Ny, J. (2018). A dynamic collective choice model with an advertiser. Dynamic Games and Applications, 8(3), 490-506. External link

Salhab, R., Le Ny, J., & Malhamé, R. P. (2018). Dynamic collective choice: social optima. IEEE Transactions on Automatic Control, 63(10), 3487-3494. External link

Salhab, R., Le Ny, J., & Malhamé, R. P. (2018, December). A mean field route choice game model [Paper]. IEEE Conference on Decision and Control (CDC 2018), Miami Beach, FL, USA. External link

Salhab, R., Malhamé, R. P., & Le Ny, J. (2016, December). A dynamic collective choice model with an advertiser [Paper]. 55th IEEE Conference on Decision and Control (CDC 2016), Las Vegas, NV, USA. External link

Salhab, R., Malhamé, R. P., & Le Ny, J. (2016). A Dynamic Game Model of Collective Choice: Stochastic Dynamics and Closed Loop Solutions. (Technical Report). External link

Salhab, R., Malhamé, R. P., & Le Ny, J. (2015, December). A dynamic game model of collective choice in multi-agent systems [Paper]. 54th IEEE Conference on Decision and Control (CDC 2015), Osaka, Japan. External link

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