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2006
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Open-loop regulation and tracking control based on a genealogical decision tree

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Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regulation and tracking control problems. The idea behind this control strategy consists of associating Gaussian distributions to both the norms of the control actions and the tracking errors. This stochastic search model can be interpreted as a simple genetic particle evolution model with a natural birth and death interpretation. It converges on probability. A numerical example dealing with the control of a fluidized bed combustion power plant illustrates the feasibility and the performance of this control algorithm. Keywords Monte Carlo method
Kaddour Najim, Enso Ikonen, P. Del Moral
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where NCA
Authors Kaddour Najim, Enso Ikonen, P. Del Moral
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