File(s) under permanent embargo
Reason: This item is currently closed access.
Stability analysis of constrained nonlinear model predictive control with terminal weighting
This paper investigates stability of model predictive control (MPC) for nonlinear constrained systems. New stability results for the MPC algorithms with terminal weighting are proposed using the dynamic programming method, which gives new criteria for choosing state, control and terminal weighting in the performance index to achieve stability of MPC algorithms. Illustrative examples are given to show that by combining this condition with existing ones, much less conservative results can be generated.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Citation
CHEN, W-H. and CAO, Y., 2012. Stability analysis of constrained nonlinear model predictive control with terminal weighting. Asian Journal of Control, 14 (5), pp. 1374 - 1381Publisher
© John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control SocietyVersion
- AM (Accepted Manuscript)
Publication date
2012Notes
This article is closed access, it was published in the serial Asian Journal of Control [© John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society ]. The definitive version is available at: http://dx.doi.org/10.1002/asjc.486ISSN
1561-8625eISSN
1934-6093Publisher version
Language
- en