2011
DOI: 10.1108/17563781111160011
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A multimodel approach for a nonlinear system based on neural network validity

Abstract: PurposeThe purpose of this paper is to present a new concept based on a neural network validity approach in the area of multimodel for complex systems.Design/methodology/approachThe multimodel approach was recently developed in order to solve the modeling problems and the control of complex systems. The strategy of this approach coincides with the usual approach of the engineer which consists in subdividing a complex problem to a set of simple, manageable sub‐problems that can be solved separately. However, th… Show more

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Cited by 10 publications
(8 citation statements)
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“…A new strategy based on a fuzzy supervisor method for the estimate validities 2 Mathematical Problems in Engineering is describe in [7]. A neural network is used to create the validity demonstrate a very significant results in the synthesis of the multimodel is explained in [8]. Other specific method are also represented in [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…A new strategy based on a fuzzy supervisor method for the estimate validities 2 Mathematical Problems in Engineering is describe in [7]. A neural network is used to create the validity demonstrate a very significant results in the synthesis of the multimodel is explained in [8]. Other specific method are also represented in [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…If, on the contrary, this validity takes the value 1, the model represents perfectly the process at the considered instant. In the case where the relevance degree is between 0 and 1, the corresponding model i M represents partially the system behavior [13].…”
Section: Validity Conceptmentioning
confidence: 99%
“…This approach is based on the calculation of the residues formulated by the distance between the real output and the sub-models' outputs. However, the performances of the multimodel approach, whose base-models' validities are calculated by the residues' approach, are considerably deteriorated in several cases of complex systems [13], [16], [17]. A new strategy, presented in this paper, allows to solve this problem and to improve the precision of the multimodel approach.…”
Section: Introductionmentioning
confidence: 99%
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