J
José Ragot
Researcher at University of Lorraine
Publications - 480
Citations - 6177
José Ragot is an academic researcher from University of Lorraine. The author has contributed to research in topics: Observer (quantum physics) & Nonlinear system. The author has an hindex of 39, co-authored 475 publications receiving 5851 citations. Previous affiliations of José Ragot include Nancy-Université & Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Online identification of the bilinear model expansion on Laguerre orthonormal bases
TL;DR: A new representation of discrete bilinear model by developing its coefficients associated to the input, to the output and to the crossed product on three independent Laguerre orthonormal bases to ensure a significant parameter number reduction as well as simple recursive representation.
Patent
Method and device for monitoring sensors and for locating failures in an industrial process
TL;DR: In this article, a method for monitoring an industrial process including a succession of steps P1 to Pn for transforming a product from an initial state Yo to a final state Yn, in which each step Pi and each state Yi are characterised by representative parameters, is characterised in that, for each step Pn, the parameters representative of the state Yi of the product are calculated with the aid of a mathematical model Fi representative of each step, on the basis of parameters representative Yi-1 before the step and of the parameters representing of the step Pi.
Proceedings ArticleDOI
Trajectory tracking fault tolerant controller design for Takagi-Sugeno systems subject to actuator faults
TL;DR: In this article, a fault tolerant control (FTC) design for nonlinear Takagi-Sugeno (T-S) models with measurable premise variables is investigated, where a PI observer is needed to estimate simultaneously the faults and the faulty system states.
Sensor Fault Detection and Isolation of an Air Quality Monitoring Network Using Nonlinear Principal component Analysis
TL;DR: In this article, a nonlinear extension of principal component analysis (PCA) is developed for sensor failure detection and isolation (FDI) to an air quality monitoring network via nonlinear PCA, which is obtained by using two cascade three layer RBF-Networks.
Proceedings ArticleDOI
Fault tolerant control for uncertain descriptor multi-models with application to wastewater treatment plant
TL;DR: This paper addresses the design of adaptive observer for uncertain descriptor multi-models (MM), affected by unknown inputs (actuator faults) and subject to unknown model parameter variations, in the context of fault tolerant control (FTC) strategy.