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What is Multiple Model Approach

Handbook of Research on Advanced Intelligent Control Engineering and Automation
This approach is based on the reduction of the system complexity by the decomposition of its operation space in a finished number of operation zones. Multiple models is a set of submodels aggregated by an interpolation mechanism for characterizing the overall dynamic behavior of a system.
Published in Chapter:
Fault Detection and Isolation for an Uncertain Takagi-Sugeno Fuzzy System using the Interval Approach
Hassene Bedoui (University of Monastir, Tunisia), Atef Kedher (University of Tunis Manar, Tunisia), and Kamel Ben Othman (University of Tunis Manar, Tunisia)
DOI: 10.4018/978-1-4666-7248-2.ch013
Abstract
This work deals with the fault detection and localization in the case of uncertain nonlinear systems. The presented method uses the diagnosis based on mathematical models. To model nonlinear systems, the multiple model approach is used. This method uses the Takagi-Sugeno fuzzy systems principle to obtain a nonlinear system named multiple models. This modeling principle has the advantage of obtaining a general model that can describe any class of nonlinear systems. This modeling principle also allows one to obtain the generalization of many results that are already obtained for linear systems to the nonlinear systems. To model the system uncertainties, the interval approach is used because the faults or disturbances are generally unknown, but it is possible to know their upper and lower bounds. The proposed technique is insensitive to measurement uncertainties and highly reliable in case of a fault affecting the outputs system.
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