Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches
Game theory, which studies the cooperation and conflict among multiple rational decision makers, called players, can be utilized to analyze a large class of engineering systems (for example, wireless communication networks and smart grids). A game usually consists of three components: the players; t...
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sg-ntu-dr.10356-1633692022-12-05T03:25:59Z Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches Hu, Guoqiang Pang, Yipeng Sun, Chao Hong, Yiguang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Wireless Communication Memory Management Game theory, which studies the cooperation and conflict among multiple rational decision makers, called players, can be utilized to analyze a large class of engineering systems (for example, wireless communication networks and smart grids). A game usually consists of three components: the players; the players' actions; and their objective functions, which the players try to either maximize (in which case the objective function is known as a utility or payoff function) or minimize (in which case the objective function is referred to as a cost or loss function). In general, the players' objective functions are dependent on other players' actions, which lead to the coupling between the players' actions in the decision-making process. This article is concerned with static games, where the order of the players' decisions is not important (see 'Summary'). Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) This work was supported in part by A* STAR under its Industry Alignment Fund (LOA award I1901E0046), the Singapore Ministry of Education Academic Research Fund Tier 1 RG180/17(2017-T1-002-158), the National Natural Science Foundation of China (62173250), and in part by Shanghai Municipal Science and Technology Major Project (2021SHZDZX0100). The authors would like to thank Prof. Lacra Pavel for the helpful advice and discussions that have improved the quality of the article. 2022-12-05T03:25:59Z 2022-12-05T03:25:59Z 2022 Journal Article Hu, G., Pang, Y., Sun, C. & Hong, Y. (2022). Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches. IEEE Control Systems, 42(4), 68-86. https://dx.doi.org/10.1109/MCS.2022.3171479 1066-033X https://hdl.handle.net/10356/163369 10.1109/MCS.2022.3171479 2-s2.0-85135307519 4 42 68 86 en I1901E0046 RG180/17(2017-T1-002–158) IEEE Control Systems © 2022 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Wireless Communication Memory Management Hu, Guoqiang Pang, Yipeng Sun, Chao Hong, Yiguang Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
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Game theory, which studies the cooperation and conflict among multiple rational decision makers, called players, can be utilized to analyze a large class of engineering systems (for example, wireless communication networks and smart grids). A game usually consists of three components: the players; the players' actions; and their objective functions, which the players try to either maximize (in which case the objective function is known as a utility or payoff function) or minimize (in which case the objective function is referred to as a cost or loss function). In general, the players' objective functions are dependent on other players' actions, which lead to the coupling between the players' actions in the decision-making process. This article is concerned with static games, where the order of the players' decisions is not important (see 'Summary'). |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Hu, Guoqiang Pang, Yipeng Sun, Chao Hong, Yiguang |
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Article |
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Hu, Guoqiang Pang, Yipeng Sun, Chao Hong, Yiguang |
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Hu, Guoqiang |
title |
Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
title_short |
Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
title_full |
Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
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Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
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Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches |
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distributed nash equilibrium seeking: continuous-time control-theoretic approaches |
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2022 |
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https://hdl.handle.net/10356/163369 |
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1751548591343665152 |