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Evolutionary Multi-Objective Pareto Optimisation of Diagnostic State Observers
International Journal of Applied Mathematics and Computer Science, Tome 9 (1999) no. 3, pp. 689-709 Cet article a éte moissonné depuis la source Library of Science

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A multi-objective Pareto-optimisation procedure for the design of residual generators which constitute a primary instrument for model-based fault detection and isolation (FDI) in systems of plant monitoring and control is considered. An evolutionary approach to the underlying multi-objective optimisation problem is utilised. The resulting robust observer detector allows for FDI, taking into account the issue of false alarms.
Keywords: diagnostics, fault detection and isolation, genetic algorithms, multi-objective optimisation, Pareto optimality, residuals, state observers
Mots-clés : diagnostyka, wyodrębnienie i wykrycie błędu, algorytm genetyczny, obserwator stanów 
@article{IJAMCS_1999_9_3_a9,
     author = {Kowalczuk, Z. and Suchomski, P. and Bia{\l}aszewski, T.},
     title = {Evolutionary {Multi-Objective} {Pareto} {Optimisation} of {Diagnostic} {State} {Observers}},
     journal = {International Journal of Applied Mathematics and Computer Science},
     pages = {689--709},
     year = {1999},
     volume = {9},
     number = {3},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/IJAMCS_1999_9_3_a9/}
}
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Kowalczuk, Z.; Suchomski, P.; Białaszewski, T. Evolutionary Multi-Objective Pareto Optimisation of Diagnostic State Observers. International Journal of Applied Mathematics and Computer Science, Tome 9 (1999) no. 3, pp. 689-709. http://geodesic.mathdoc.fr/item/IJAMCS_1999_9_3_a9/