Fast Model Predictive Control Method for Large-Scale Structural Dynamic Systems: Computational Aspects
Joint Authors
Wu, Zhi-Gang
Peng, Hai-Jun
Gao, Q.
Zhong, W. X.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A fast and accurate model predictive control method is presented for dynamic systems representing large-scale structures.
The fast model predictive control formulation is based on highly efficient computations of the state transition matrix, that is, the matrix exponential, using an improved precise integration method.
The enhanced efficiency for model predictive control is achieved by exploiting the sparse structure of the matrix exponential at each discrete time step.
Accuracy is maintained using the precise integration method.
Compared with the general model predictive control method, the reduced central processing unit (CPU) time required by the fast model predictive control scheme can result in a shorter control update interval and a lower online computational burden.
Therefore, the proposed method is more efficient for large-scale structural dynamic systems.
American Psychological Association (APA)
Peng, Hai-Jun& Gao, Q.& Wu, Zhi-Gang& Zhong, W. X.. 2014. Fast Model Predictive Control Method for Large-Scale Structural Dynamic Systems: Computational Aspects. Shock and Vibration،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1047938
Modern Language Association (MLA)
Peng, Hai-Jun…[et al.]. Fast Model Predictive Control Method for Large-Scale Structural Dynamic Systems: Computational Aspects. Shock and Vibration No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1047938
American Medical Association (AMA)
Peng, Hai-Jun& Gao, Q.& Wu, Zhi-Gang& Zhong, W. X.. Fast Model Predictive Control Method for Large-Scale Structural Dynamic Systems: Computational Aspects. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1047938
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1047938