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Uncertainty Quantification in Control Problems for Flocking Models
Joint Authors
Albi, Giacomo
Pareschi, Lorenzo
Zanella, Mattia
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The optimal control of flocking models with random inputs is investigated from a numerical point of view.
The effect of uncertainty in the interaction parameters is studied for a Cucker-Smale type model using a generalized polynomial chaos (gPC) approach.
Numerical evidence of threshold effects in the alignment dynamic due to the random parameters is given.
The use of a selective model predictive control permits steering of the system towards the desired state even in unstable regimes.
American Psychological Association (APA)
Albi, Giacomo& Pareschi, Lorenzo& Zanella, Mattia. 2015. Uncertainty Quantification in Control Problems for Flocking Models. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074887
Modern Language Association (MLA)
Albi, Giacomo…[et al.]. Uncertainty Quantification in Control Problems for Flocking Models. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074887
American Medical Association (AMA)
Albi, Giacomo& Pareschi, Lorenzo& Zanella, Mattia. Uncertainty Quantification in Control Problems for Flocking Models. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074887
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074887