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- Ivan Malloci, Jamal Daafouz, Claude Iung, Rémi Bonidal, Patrick Szczepanski
- IEEE Trans. Contr. Sys. Techn.
- 2010

In this article, a robust hot strip mill steering control is proposed in order to guarantee the system stability and to improve its performances. The rolling process consists in crushing a metal strip between some rolls for obtaining a product with constant and desired thickness. The quality of the rolled products and the safety of the production process… (More)

In this article, a robust steering control for the last phase of the rolling process in a hot strip mill is proposed. This phase, called tail end phase, may be modelled as a linear switched system. The switchings make the system unstable and the task of the tail end steering control consists in guaranteeing the safety of the industrial plant. The system… (More)

To tackle segmentation problems on biological sequences, we advocate the use of a hybrid architecture combining discriminant and generative models in the framework of a hierarchical approach. Multi-class support vector machines and neural networks provide a set of initial predictions. These predictions are postprocessed by classifiers estimating the class… (More)

A bumpless transfer method for discrete-time switched linear systems is presented. It is based on an additional controller which is activated at the switching time for reducing the control discontinuities. Dwell time conditions to guarantee the stability of the closed-loop system are provided. Simulation tests on the Eisenhüttenstadt hot strip mill of… (More)

- Rémi Bonidal
- 2013

For a support vector machine, model selection consists in selecting the kernel function, the values of its parameters, and the amount of regularization. To set the value of the regularization parameter, one can minimize an appropriate objective function over the regularization path. A priori, this requires the availability of two elements: the objective… (More)

Abstract— In this article, an alternative LMI solution for the linear quadratic optimal control design is proposed for the discrete-time systems in the singular perturbation form. This approach is particularly adapted for the case of high dimension systems. Moreover, it can be easily extended to the uncertain systems, under some assumptions. An example of… (More)

- Rémi Bonidal, Samy Tindel, Yann Guermeur
- Trans. Computational Collective Intelligence
- 2014

For a support vector machine, model selection consists in selecting the kernel function, the values of its parameters, and the amount of regularization. To set the value of the regularization parameter, one can minimize an appropriate objective function over the regularization path. A priori, this requires the availability of two elements: the objective… (More)

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