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Hassani Messaoud

Researcher at University of Monastir

Publications -  208
Citations -  1449

Hassani Messaoud is an academic researcher from University of Monastir. The author has contributed to research in topics: Nonlinear system & Laguerre polynomials. The author has an hindex of 18, co-authored 203 publications receiving 1188 citations. Previous affiliations of Hassani Messaoud include University of Picardie Jules Verne & École Normale Supérieure.

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Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring

TL;DR: This paper proposes an improved Reduced Kernel Principal Component Analysis (RKPCA) for handling nonlinear dynamic systems using a moving window to approximating the principal components of the KPCA model by a reduced data set that approaches "properly" the system behavior in the order to elaborate an RK PCA model.
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New fault detection method based on reduced kernel principal component analysis (RKPCA)

TL;DR: In this article, a new method for fault detection using a reduced kernel principal component analysis (RKPCA) was proposed, which consists on approximating the retained principal components given by the KPCA method by a set of observation vectors which point to the directions of the largest variances with the residual principal components.
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Decomposition of an ARX model on Laguerre orthonormal bases.

TL;DR: The coefficients associated to the input and the output of the ARX model are expanded on independent Laguerre bases, to develop a new black-box linear ARX-Laguerrre model with filters on model input and output.
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Exponential Observer for a Class of One-Sided Lipschitz Stochastic Nonlinear Systems

TL;DR: This note investigates observer design for a class of nonlinear one-sided Lipschitz stochastic systems with multiplicative noises using a polytopic technique exploiting the structure of the control inputs, coupled with a descriptor systems approach.
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Robust adaptive sliding mode control for uncertain systems with unknown time-varying delay input.

TL;DR: The novel approach of Robust Adaptive Sliding ModeControl (RASMC) has been defined for this type of systems, where the upper limit of uncertainty which is assumed unknown, and the control law based on a sliding surface that will converge to zero is determined.