On the selection of appropriate control system design methodologies
| Authors: | Van Willigenburg Gerard, Wageningen University, Netherlands
De Koning W.L., Delft University of Technology, Netherlands
Chalabi Z.S., London School of Hygiene and Tropical Medicine, United Kingdom
Tchamitchian M., INRA Bioclimatologie, France
Van Straten G., Wageningen University, Netherlands |
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| Topic: | 1.2 Adaptive and Learning Systems |
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| Session: | Applications of Adaptive and Learning Control |
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| Keywords: | controller selection, model uncertainty, active adaptive control, adaptive dual control, caution, probing |
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Abstract
We will argue in this paper that the nature and magnitude of model uncertainty dictate the appropriateness of the control system design methodology. To obtain these arguments, we will pursue optimality of the control system design. Note this is a philosophical paper, in which we present our arguments in qualitative terms. We will identify the circumstances under which several control system design methodologies are appropriate. The design methodologies that will be considered are (1) optimal control and optimal feedback design, (2) model predictive control (receding horizon control), (3) active and passive adaptive control and (4) robust control.
