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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Main Authors: Hu, Guoqiang, Pang, Yipeng, Sun, Chao, Hong, Yiguang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163369
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Institution: Nanyang Technological University
Language: English
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spelling 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.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Wireless Communication
Memory Management
spellingShingle 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
description 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').
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Hu, Guoqiang
Pang, Yipeng
Sun, Chao
Hong, Yiguang
format Article
author Hu, Guoqiang
Pang, Yipeng
Sun, Chao
Hong, Yiguang
author_sort 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
title_fullStr Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches
title_full_unstemmed Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches
title_sort distributed nash equilibrium seeking: continuous-time control-theoretic approaches
publishDate 2022
url https://hdl.handle.net/10356/163369
_version_ 1751548591343665152