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Convergence Guaranteed Nonlinear Constraint Model Predictive Control via IO Linearization
Joint Authors
Kong, Xiaobing
Yao, Xiuming
Liu, Xiangjie
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Constituting reliable optimal solution is a key issue for the nonlinear constrained model predictive control.
Input-output feedback linearization is a popular method in nonlinear control.
By using an input-output feedback linearizing controller, the original linear input constraints will change to nonlinear constraints and sometimes the constraints are state dependent.
This paper presents an iterative quadratic program (IQP) routine on the continuous-time system.
To guarantee its convergence, another iterative approach is incorporated.
The proposed algorithm can reach a feasible solution over the entire prediction horizon.
Simulation results on both a numerical example and the continuous stirred tank reactors (CSTR) demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Kong, Xiaobing& Liu, Xiangjie& Yao, Xiuming. 2013. Convergence Guaranteed Nonlinear Constraint Model Predictive Control via IO Linearization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009519
Modern Language Association (MLA)
Kong, Xiaobing…[et al.]. Convergence Guaranteed Nonlinear Constraint Model Predictive Control via IO Linearization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1009519
American Medical Association (AMA)
Kong, Xiaobing& Liu, Xiangjie& Yao, Xiuming. Convergence Guaranteed Nonlinear Constraint Model Predictive Control via IO Linearization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009519
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009519