J. E. Ellis
Approaches to the optimizing control problem
Ellis, J. E.; Kambhampati, C; Sheng, G; Roberts, P. D.
Authors
Dr Chandrasekhar Kambhampati C.Kambhampati@hull.ac.uk
Reader in Computer Science
G Sheng
P. D. Roberts
Abstract
The selection of the steady-state controls which enable a system to operate in an optimum manner is the optimizing control problem. An examination of direct and adaptive model-based approaches to this problem is made. In the direct approach, system measurements are used directly within an optimization procedure while, with the adaptive model-based techniques, an updated model is used for the optimization problem and the results of the model-based problem are applied to the system. Here, due to its recognized efficiency among established optimization algorithms, a conjugate direction method is adopted for the direct approach. For the model-based approach, two different techniques are described. A rationalized form of modified two-step method is presented along with a new method based on an approximate linear model. An assessment of the efficiency of the various methods is made through the simulation of a gas mixer system. The direct method is seen to be unrealistic while, for the system considered, the approximate linear model approach is seen to be superior to the modified two-step method.
Citation
Ellis, J. E., Kambhampati, C., Sheng, G., & Roberts, P. D. (1988). Approaches to the optimizing control problem. International Journal of Systems Science, 19(10), 1969-1985. https://doi.org/10.1080/00207728808964092
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 8, 1987 |
Online Publication Date | May 31, 2007 |
Publication Date | Dec 31, 1988 |
Journal | International Journal of Systems Science |
Print ISSN | 0020-7721 |
Electronic ISSN | 1464-5319 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 10 |
Pages | 1969-1985 |
DOI | https://doi.org/10.1080/00207728808964092 |
Keywords | Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications |
Public URL | https://hull-repository.worktribe.com/output/409671 |
Publisher URL | https://www.tandfonline.com/doi/abs/10.1080/00207728808964092 |
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