Dynamic generalized Nash equilibrium seeking for N -coalition noncooperative games
暂无分享,去创建一个
X. Dong | Qingdong Li | Yongzhao Hua | Fei Liu | Z. Ren | Jianglong Yu | Xiwang Dong
[1] Xiaohong Nian,et al. Distributed Nash Equilibrium Seeking for Multicluster Game Under Switching Communication Topologies , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[2] Yiguang Hong,et al. Distributed algorithm for ε-generalized Nash equilibria with uncertain coupled constraints , 2021, Autom..
[3] Shu Liang,et al. Distributed Nash Equilibrium Seeking for Aggregative Games With Nonlinear Dynamics Under External Disturbances , 2020, IEEE Transactions on Cybernetics.
[4] Guoqiang Hu,et al. Distributed Generalized Nash Equilibrium Seeking for Monotone Generalized Noncooperative Games by a Regularized Penalized Dynamical System , 2020, IEEE Transactions on Cybernetics.
[5] J. Jithish,et al. A game‐theoretic approach for ensuring trustworthiness in cyber‐physical systems with applications to multiloop UAV control , 2020, Trans. Emerg. Telecommun. Technol..
[6] Sergio Grammatico,et al. Learning generalized Nash equilibria in multi-agent dynamical systems via extremum seeking control , 2020, Autom..
[7] Maojiao Ye,et al. An extremum seeking-based approach for Nash equilibrium seeking in N-cluster noncooperative games , 2020, Autom..
[8] C. D. Persis,et al. Network games with dynamic players: Stabilization and output convergence to Nash equilibrium , 2019, Autom..
[9] Sergio Grammatico,et al. Continuous-time fully distributed generalized Nash equilibrium seeking for multi-integrator agents , 2019, Autom..
[10] Shu Liang,et al. Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game , 2019, Autom..
[11] Lacra Pavel,et al. Dynamic NE Seeking for Multi-Integrator Networked Agents With Disturbance Rejection , 2019, IEEE Transactions on Control of Network Systems.
[12] Maojiao Ye,et al. Nash equilibrium seeking for N-coalition noncooperative games , 2018, Autom..
[13] Lacra Pavel,et al. Distributed GNE Seeking Under Partial-Decision Information Over Networks via a Doubly-Augmented Operator Splitting Approach , 2018, IEEE Transactions on Automatic Control.
[14] Qingshan Liu,et al. A Collective Neurodynamic Approach to Distributed Constrained Optimization , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[15] Lacra Pavel,et al. A Passivity-Based Approach to Nash Equilibrium Seeking Over Networks , 2017, IEEE Transactions on Automatic Control.
[16] Lacra Pavel,et al. A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods , 2017, ArXiv.
[17] Sergio Grammatico. Dynamic Control of Agents Playing Aggregative Games With Coupling Constraints , 2016, IEEE Transactions on Automatic Control.
[18] Shengyuan Xu,et al. Regularized Primal–Dual Subgradient Method for Distributed Constrained Optimization , 2016, IEEE Transactions on Cybernetics.
[19] Enrique Mallada,et al. Asymptotic convergence of constrained primal-dual dynamics , 2015, Syst. Control. Lett..
[20] Karl Henrik Johansson,et al. Nash Equilibrium Computation in Subnetwork Zero-Sum Games With Switching Communications , 2013, IEEE Transactions on Automatic Control.
[21] Sonia Martínez,et al. Distributed Coverage Games for Energy-Aware Mobile Sensor Networks , 2013, SIAM J. Control. Optim..
[22] Bahman Gharesifard,et al. Distributed convergence to Nash equilibria in two-network zero-sum games , 2012, Autom..
[23] Milos S. Stankovic,et al. Distributed Seeking of Nash Equilibria With Applications to Mobile Sensor Networks , 2012, IEEE Transactions on Automatic Control.
[24] Francisco Facchinei,et al. Generalized Nash Equilibrium Problems , 2010, Ann. Oper. Res..
[25] J. Krawczyk,et al. Numerical solutions to Nash-Cournot equilibria in coupled constraint electricity markets , 2004, IEEE Transactions on Power Systems.
[26] Ankur A. Kulkarni,et al. On the variational equilibrium as a refinement of the generalized Nash equilibrium , 2012, Autom..