Conventional And Non-Conventional Methods For Nonlinear Multi Objective Predictive Control
- Authors
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Faouzi Bouani
National Institute of Applied Sciences and Technology
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Kaouther Laabidi
High Institute of Applied Sciences and Technology
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Mekki Ksouri
National Institute of Engineering of Tunis
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- Abstract
- This paper describes constrained multi objective predictive control of nonlinear systems. A nonlinear model based on the Artificial Neural Networks (ANNs) is used to characterize the process at each operating point. The control law is provided by minimizing a set of control objective which is function of the future prediction output and the future control actions. Three aggregative methods are used to compute the control law. The first and the second methods are non-conventional methods based on Genetic Algorithms (GAs) and the third method is a conventional method which is a combination between the weighted sum method and the ellipsoid algorithm. The proposed control scheme is applied to a numerical example to illustrate the performance of the proposed predictive controller.
- References
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- Published
- 2006-03-30
- Issue
- Vol. 8 No. 1 (2006)
- Section
- Articles