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- Fouad Giri, Abdelhadi Radouane, A. Brouri, F. Z. Chaoui
- Automatica
- 2014

- Fouad Giri, Y. Rochdi, Abdelhadi Radouane, A. Brouri, F. Z. Chaoui
- Automatica
- 2013

- Abdelhadi Radouane, Fabienne Demotes-Mainard Péhourcq, Gérard Tramu, EE Creppy, Bernard Bannwarth
- Fundamental & clinical pharmacology
- 1996

The aim of this quantitative structure-activity relationship (QSAR) study was to investigate the influence of lipophilicity on the diffusion of cephalosporins into the cerebrospinal fluid (CSF). The lipophilicity was expressed as the chromatographic capacity factor (log k'w) determined by high-performance liquid chromatography in a reversed-phase system.… (More)

- Abdelhadi Radouane, Tarek Ahmed-Ali, Fouad Giri
- ECC
- 2014

The problem of Hammerstein system identification is addressed in presence of a differential hysteresis nonlinearity. The identification process is based on sampled output measurements and an upper bound on the allowed sampling period is provided. One key idea in the identification method design is that the hysteresis element assumes a linear… (More)

- Abdelhadi Radouane, Fouad Giri, Abdessamad Naitali, F. Z. Chaoui
- ALCOSP
- 2013

In this work an unsupervised fuzzy learning method for the identification of nonlinear dynamical systems is designed. Accordingly, the learning process is featured by an incremental fuzzy clustering algorithm involving, in addition to the usual Euclidian distance, a new angular deviation. It turns out that: (i) the domain associated to each local model is… (More)

The problem Wiener systems identification is addressed in presence of hysteresis nonlinearities, presently described by the Bouc-Wen model. The latter is nonlinear differential equation involving unknown parameters, some of which coming in nonlinearly. Except for stability, the linear subsystem is arbitrary and, in particular, it is not given a particular… (More)

- Abdessamad Naitali, Fouad Giri, Abdelhadi Radouane, F. Z. Chaoui
- 2014 IEEE International Symposium on Intelligent…
- 2014

A new evolutionary solution to the partitioning problem in local linear models (LLM) identification is developed. It consists in a master search process involving swarm intelligence (SI) based learning metaphor which trains the underlying system working space (SWS) oblique partitioning parameters, and a nested local optimization algorithm that estimates the… (More)

- Abdessamad Naitali, Fouad Giri, Abdelhadi Radouane, F. Z. Chaoui
- ALCOSP
- 2013

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