Environmental systems modeling and diagnosis using a multiple model approach
Résumé
The paper aims to describe the problem of modelling non-linear dynamic systems using a multiple model representation, also known in fuzzy set literature as Takagi-Sugeno model. The basic principle of this approach is to represent the system as an interpolation of locally valid models. Proposed identification algorithms concern the parameter estimation and the structure determination (local model orders, number of local models). Three applications of this approach to environmental system management are reported: modelling of a wastewater treatment plant, ozone concentration prediction is an urban area and finally modelling of rainfall-runoff relationship for sensor fault diagnosis in urban sewage network.
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