K. Benmahammed

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The problem of identifying disturbance lines in printed circuit boards is addressed. Identification is achieved by estimating the disturbance frequency and the separation distance between the coupled lines. Frequency estimation uses a wavelet coefficients thresholding method to reconstruct the interference caused by the disturbance line. The separation(More)
In this paper, a real coded Integer Genetic-Algorithm (RCIGA) was developed to identify the parameters of non-linear systems and was successfully applied with acceptable accuracy. This algorithm can achieve robustness and efficiency in identifying parameters of non-linear systems. The genetic algorithm (GA) in ordinary form is a binary encoding during the(More)
The performance of face authentication systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the grayscale face image as input. In this paper, we propose to use the color information as a feature for face image. The proposed feature set is tested on a benchmark(More)
In this work we propose, for the first time, a combined method for blind image restoration. This combination is based on PSO and the integration in it of the search efficiency function that represent the optimal searching strategy elaborated by honeybees when searching for food, and its use for the first time in image processing, to carry out the(More)
A fuzzy model based control approach is proposed for the stabilization of non linear systems. The fuzzy model is described by a set of uncertain linear systems where the local system uncertainty depends on the fulfillment degree of the corresponding rule. A quadratic stability margin optimization approach is used to design the local controller. The global(More)
This paper deals with hybrid observer design for state switched systems described by differential Petri nets (DPN). The structure herein proposed is composed of a discrete observer and a continuous observer that are in interaction. The discrete observer reconstructs the discrete mode, by estimating both of the discrete marking and the firing vectors. Once,(More)
In this paper we propose a new approach for constrained model based predictive control based on the use on non linear models as a prediction models for the plant under control.. A genetic algorithm based approach is then used in an MBPC structure to deal with the problem of optimisation which is non convex and thus difficult to solve. The efficiency of this(More)
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