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An optimization study of the supervision strategy is proposed in order to conclude on system performance.
This paper aims to present an optimization methodology of a fuzzy-logic supervision strategy.
An energy management supervision strategy based on the rules of the electricity bill will be presented.
In order to solve this limitation, a supervision strategy is proposed in the case of input redundant affine systems.
Then a supervision strategy is developed based on fuzzy logic approach and graphical tool to build it.
This paper proposes a supervision strategy based on multi-criteria approach including energetic, environmental and economic constraints.
Similar(36)
Particularly, the combination of fuzzy clustering with multivariate statistical techniques for Process Supervision Strategies (PSS) has been studied.
This paper proposes a survey on the methodologies to design fuzzy logic based supervision strategies of this new kind of energy generating systems.
Results could have implications to the engineering of children's toys and playground equipment and to the design of appropriate supervision strategies for children engaging in potentially dangerous activities.
Different supervision strategies influence performance.
Few supervision strategies have been rigorously tested and data on CHW supervision is particularly sparse.
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