Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/163369
Title: | Distributed Nash equilibrium seeking: continuous-time control-theoretic approaches | Authors: | Hu, Guoqiang Pang, Yipeng Sun, Chao Hong, Yiguang |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2022 | Source: | 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 | Project: | I1901E0046 RG180/17(2017-T1-002–158) |
Journal: | IEEE Control Systems | Abstract: | 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'). | URI: | https://hdl.handle.net/10356/163369 | ISSN: | 1066-033X | DOI: | 10.1109/MCS.2022.3171479 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2022 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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