Dividing Genetic Computation Method for Robust Receding Horizon Control Design
Author
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
A new robust Receding Horizon Control (RHC) design approach for the sampled-data systems is proposed.
The approach is based on a dividing genetic computation of minimax optimization for a robust finite receding horizon control problem.
Numerical example is given to show the effectiveness of the proposed method.
American Psychological Association (APA)
Kawabe, Tohru. 2010. Dividing Genetic Computation Method for Robust Receding Horizon Control Design. Applied Computational Intelligence and Soft Computing،Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-451339
Modern Language Association (MLA)
Kawabe, Tohru. Dividing Genetic Computation Method for Robust Receding Horizon Control Design. Applied Computational Intelligence and Soft Computing No. 2010 (2010), pp.1-10.
https://search.emarefa.net/detail/BIM-451339
American Medical Association (AMA)
Kawabe, Tohru. Dividing Genetic Computation Method for Robust Receding Horizon Control Design. Applied Computational Intelligence and Soft Computing. 2010. Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-451339
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-451339
