Saddle-point solution to zero-sum games subject to noncausal systems
A singular system, assumed to possess both regularity and freedom from impulses, is categorized as a causal system. Noncausal systems (NSs) are a class of singular systems anticipated to exhibit regularity. This study focuses on investigating zero-sum games (ZSGs) in the context of NSs. We introduce...
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Published in | Journal of intelligent & fuzzy systems Vol. 45; no. 6; pp. 11807 - 11833 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
02.12.2023
Sage Publications Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 1064-1246 1875-8967 |
DOI | 10.3233/JIFS-232401 |
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Abstract | A singular system, assumed to possess both regularity and freedom from impulses, is categorized as a causal system. Noncausal systems (NSs) are a class of singular systems anticipated to exhibit regularity. This study focuses on investigating zero-sum games (ZSGs) in the context of NSs. We introduce recurrence equations grounded in Bellman’s optimality principle. The saddle-point solution for multistage two-player ZSGs can be obtained by solving these recurrence equations. This methodology has demonstrated its effectiveness in addressing two-player ZSGs involving NSs. Analytical expressions that characterize saddle-point solutions for two types of two-player ZSGs featuring NSs, encompassing both linear and quadratic control scenarios, are derived in this paper. To enhance clarity, we provide an illustrative example that effectively highlights the utility of our results. Finally, we apply our methodology to analyze a ZSG in the realm of environmental management, showcasing the versatility of our findings. |
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AbstractList | A singular system, assumed to possess both regularity and freedom from impulses, is categorized as a causal system. Noncausal systems (NSs) are a class of singular systems anticipated to exhibit regularity. This study focuses on investigating zero-sum games (ZSGs) in the context of NSs. We introduce recurrence equations grounded in Bellman’s optimality principle. The saddle-point solution for multistage two-player ZSGs can be obtained by solving these recurrence equations. This methodology has demonstrated its effectiveness in addressing two-player ZSGs involving NSs. Analytical expressions that characterize saddle-point solutions for two types of two-player ZSGs featuring NSs, encompassing both linear and quadratic control scenarios, are derived in this paper. To enhance clarity, we provide an illustrative example that effectively highlights the utility of our results. Finally, we apply our methodology to analyze a ZSG in the realm of environmental management, showcasing the versatility of our findings. |
Author | Li, Fuzhen Chen, Xin Wang, Yan |
Author_xml | – sequence: 1 givenname: Xin surname: Chen fullname: Chen, Xin email: xchen@njust.edu.cn organization: School of Science – sequence: 2 givenname: Yan surname: Wang fullname: Wang, Yan organization: School of Science – sequence: 3 givenname: Fuzhen surname: Li fullname: Li, Fuzhen organization: School of Science |
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Cites_doi | 10.1016/S0304-4149(03)00059-0 10.1049/cth2.12400 10.1007/s00500-020-05206-x 10.1080/0020772031000158528 10.1080/00207177408932729 10.1007/s10845-014-1003-7 10.1109/85.238389 10.1007/BF01448847 10.1016/S0005-1098(96)00193-8 10.1080/00207721.2022.2122903 10.1016/j.isatra.2017.08.007 10.1109/TAC.1984.1103451 10.1016/j.ress.2022.108357 10.1080/21642583.2013.832642 10.1126/sciadv.aay3761 10.1002/asjc.2343 10.1016/j.chaos.2021.110940 10.1007/s11590-013-0687-5 10.1016/j.imavis.2020.103925 10.3934/jimo.2021034 10.1080/00207721.2021.2005175 10.1109/TFUZZ.2015.2486809 10.1016/j.apm.2020.02.029 10.1007/s11071-021-07049-z 10.1109/TMECH.2022.3202642 10.1016/j.omega.2022.102661 10.1109/TAC.2002.800651 10.1287/mnsc.38.5.609 10.2307/1969529 |
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Keywords | saddle-point solution Zero-sum game recurrence equations noncausal system |
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SubjectTerms | Environmental management Mathematical analysis Regularity Saddle points (game theory) Zero sum games |
Title | Saddle-point solution to zero-sum games subject to noncausal systems |
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