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Caines, P. E., Tchuendom, R. F., Huang, M., & Gao, S. (2023, July). Critical Nash Value Nodes for Control Affine Embedded Graphon Mean Field Games* [Paper]. 22nd IFAC World Congress, Yokohama, Japan. Published in IFAC-PapersOnLine, 56(2). External link
Caines, P. E., Foguen Tchuendom, R., Huang, M., & Gao, S. (2023, July). Critical Nash Value Nodes for Control Affine Embedded Mean Field Games [Paper]. 22nd World Congress of the International Federation of Automatic Control (IFAC 2023), Yokohama, Japan. Unavailable
Caines, P. E., Huang, M., & Malhamé, R. P. (2018). Mean Field Games. In Başar, T., & Zaccour, G. (eds.), Handbook of Dynamic Game Theory (pp. 345-372). External link
Caines, P. E., Huang, M., & Malhamé, R. P. (2017). Mean field games. In Handbook of dynamic game theory (pp. 345-372). External link
Caines, P. E., Huang, M., & Malhamé, R. P. (2006). Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle. Communications in Information and Systems, 6(3), 221-252. External link
Foguen-Tchuendom, R., Gao, S., Caines, P. E., & Huang, M. (2024). Infinite horizon LQG Graphon Mean Field Games: Explicit Nash values and local minima. Systems and Control Letters, 187, 105780 (9 pages). External link
Foguen Tchuendom, R., Gao, S., Huang, M., & Caines, P. E. (2022, December). Optimal Network Location in Infinite Horizon LQG Graphon Mean Field Games [Paper]. 61st IEEE Conference on Decision and Control (CDC 2022), Cancun, Mexico. External link
Gao, S., Caines, P. E., & Huang, M. (2023). LQG Graphon Mean Field Games: Analysis via Graphon-Invariant Subspaces. IEEE Transactions on Automatic Control, 68(12), 7482-7497. External link
Gao, S., Caines, P. E., & Huang, M. (2021, December). LQG Graphon Mean Field Games: Graphon Invariant Subspaces [Paper]. 60th IEEE Conference on Decision and Control (CDC 2021), Austin, TX, USA. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2012). Social Optima in Mean Field Lqg Control: Centralized and Decentralized Strategies. IEEE Transactions on Automatic Control, 57(7), 1736-1751. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2010). The NCE (Mean Field) Principle With Locality Dependent Cost Interactions. IEEE Transactions on Automatic Control, 55(12), 2799-2805. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2008, December). A locality generalization of the NCE (mean field) principle: agent specific cost interactions [Paper]. 47th IEEE Conference on Decision and Control (CDC 2008). External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2007). An invariance principle in large population stochastic dynamic games. Journal of Systems Science & Complexity, 20(2), 162-172. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2007, December). The nash certainty equivalence principle and McKean-Vlasov systems: an invariance principle and entry adaptation [Paper]. 46th IEEE Conference on Decision and Control (CDC 2007), New Orleans, Louisiana. External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2006). Large Population Stochastic Dynamic Games: Closed-Loop McKean-Vlasov Systems and the Nash Certainty Equivalence Principle. (Technical Report n° G-2006-57). External link
Huang, M., Malhamé, R. P., & Caines Peter, E. (2005). Computationally tractable stochastic power control laws in wireless communications. IEEE Transactions on Automatic Control, 50(2), 263-268. External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2005). Nash Equilibria for Large-Population Linear Stochastic Systems of Weakly Coupled Agents. In Analysis, Control and Optimization of Complex Dynamic Systems (pp. 215-252). External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2005, December). Nash strategies and adaptation for decentralized games involving weakly-coupled agents [Paper]. 44th IEEE Conference on Decision and Control & European Control Conference, Séville, Espagne. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2004). Uplink power adjustment in wireless communication systems : a stochastic control analysis. IEEE Transactions on Automatic Control, 49(10), 1693-1708. External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2003, December). Individual and mass behaviour in large population stochastic wireless power control problems : centralized and nash equilibrium solutions [Paper]. 42nd IEEE Conference on Decision and Control. External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2003, December). Stochastic power control in wireless communication systems : analysis, approximate control algorithms and state aggregation [Paper]. 42nd IEEE Conference on Decision and Control. External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2003, June). Stochastic power control in wireless communication systems with and infinite horizon discounted cost [Paper]. American Control Conference (ACC 2003). External link
Huang, M., Malhamé, R. P., & Caines, P. E. (2002, January). Quality of service control for wireless systems: minimum power and minimum energy solutions [Paper]. American Control Conference (ACC 2002). External link
Huang, M., Caines, P. E., & Malhamé, R. P. (2002, July). Stochastic power control for wireless systems: centralized dynamic solutions and aspects of decentralized control [Paper]. 15th World Congress of the International Federation of Automatic Control, Barcelona, Spain. External link
Nourian, M., Caines, P. E., Malhamé, R. P., & Huang, M. (2013). Nash, social and centralized solutions to consensus problems via mean field control theory. IEEE Transactions on Automatic Control, 58(3), 639-653. External link
Nourian, M., Caines, P. E., Malhamé, R. P., & Huang, M. (2012). Mean field LQG control in leader-follower stochastic multi-agent systems: Likelihood ratio based adaptation. IEEE Transactions on Automatic Control, 57(11), 2801-2816. External link
Nourian, M., Malhamé, R. P., Huang, M., & Caines, P. E. (2011). Mean field (NCE) formulation of estimation based leader–follower collective dynamics. International Journal of Robotics & Automation, 26(1). External link
Nourian, M., Caines, P. E., Malhamé, R. P., & Huang, M. (2010, September). A Solution to the Consensus Problem via Stochastic Mean Field Control [Paper]. 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France. Published in IFAC Proceedings Volumes, 43(19). External link
Nourian, M., Caines, P. E., Malhamé, R. P., & Huang, M. (2010, November). Leader-Follower Cucker-Smale Type Flocking Synthesized via Mean Field Stochastic Control Theory [Paper]. Brain, Body and Machine, Montréal, QC, Canada. Published in Advances in intelligent and soft computing, 83. External link
Nourian, M., Caines, P. E., Malhamé, R. P., & Huang, M. (2009, September). Derivation of Consensus Algorithm Dynamics from Mean Field Stochastic Control NCE Equations [Paper]. 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys 2009), Venice, Italy. Published in IFAC Proceedings Volumes, 42(20). External link
Şen, N., Huang, M., & Malhamé, R. P. (2016, December). Mean field social control with decentralized strategies and optimality characterization [Paper]. 55th IEEE Conference on Decision and Control (CDC 2016), Las Vegas, Nevada. External link
