Numerical Algorithm for Solving Cross-Coupled Multiparameter Algebraic Riccati Equations of Multimodeling Systems Related to Nash Games
Hiroaki Mukaidani (),
Tetsu Shimomura () and
Hua Xu ()
Additional contact information
Hiroaki Mukaidani: Hiroshima City University, Faculty of Information Sciences
Tetsu Shimomura: Hiroshima University, Graduate School of Education
Hua Xu: The University of Tsukuba, Graduate School of Business Sciences
A chapter in ICM Millennium Lectures on Games, 2003, pp 359-371 from Springer
Abstract:
Summary We study linear quadratic Nash games for infinite horizon multiparameter singularly perturbed systems (MSPS). We propose a new algorithm which is based on the Kleinman algorithm for solving the generalized cross-coupled multiparameter algebraic Riccati equations (GCMARE). It is shown that the resulting algorithm guarantees quadratic convergence. Simulation results show that the proposed algorithm succeeds in dramatically improving the convergence rate compared with previous results.
Keywords: Multiparameter singularly perturbed systems (MSPS); Linear quadratic Nash games; Generalized cross-coupled multiparameter algebraic Riccati equations (GCMARE); Kleinman algorithm (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-05219-8_23
Ordering information: This item can be ordered from
http://www.springer.com/9783662052198
DOI: 10.1007/978-3-662-05219-8_23
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().