Jean Claude Carmona

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Nonlinear system identification tends to provide highly accurate models these last decades; however, the user remains interested in finding a good balance between high-accuracy models and moderate complexity. In this paper, four balanced accuracy–complexity identification model families are proposed. These models are derived, by selecting different(More)
In this paper, we propose to model basic continuous component of dynamic systems in a way that facilitate the transposition to a G-DEVS model, which is a paradigm that offers the ability to develop a uniform approach to model hybrid systems (abstraction closer to real systems), i.e. composed of both continuous and discrete components. In that, our approach(More)
In this paper, the control of sound propagation in a n air-handling duct is investigated. Employing identified discrete time models of the duct, robust linear controllers are designed using the combined pole place-ment/sensitivity function shaping method. T h e par-ticularities of harmonic noise sources are taken into account , avoiding the classical(More)
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