Mean field stochastic linear quadratic games for continuum-parameterized multi-agent systems. Issue 12 (August 2018)
- Record Type:
- Journal Article
- Title:
- Mean field stochastic linear quadratic games for continuum-parameterized multi-agent systems. Issue 12 (August 2018)
- Main Title:
- Mean field stochastic linear quadratic games for continuum-parameterized multi-agent systems
- Authors:
- Li, Zhipeng
Fu, Minyue
Zhang, Huanshui
Wu, Zongze - Abstract:
- Abstract: In this paper, we consider a stochastic linear quadratic mean field game for the continuum-parameterized multi-agent systems with multiplicative noise. Based on the Nash certain equivalence principle, we obtain a series of decentralized control laws. Then, Dynkin's formula and comparison principle are employed to prove the boundedness of the state of the closed loop system in the mean square sense. Finally, we show that the set of decentralized controls has an ϵ-Nash equilibrium property.
- Is Part Of:
- Journal of the Franklin Institute. Volume 355:Issue 12(2018)
- Journal:
- Journal of the Franklin Institute
- Issue:
- Volume 355:Issue 12(2018)
- Issue Display:
- Volume 355, Issue 12 (2018)
- Year:
- 2018
- Volume:
- 355
- Issue:
- 12
- Issue Sort Value:
- 2018-0355-0012-0000
- Page Start:
- 5240
- Page End:
- 5255
- Publication Date:
- 2018-08
- Subjects:
- Science -- Periodicals
Technology -- Periodicals
Patents -- United States -- Periodicals
505 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/00160032 ↗ - DOI:
- 10.1016/j.jfranklin.2018.05.003 ↗
- Languages:
- English
- ISSNs:
- 0016-0032
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4755.000000
British Library DSC - BLDSS-3PM
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