Model-free control

Abstract : ''Model-free control'' and the corresponding ''intelligent'' PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account. The basics of model-free control is now employing some old functional analysis and some elementary differential algebra. The estimation techniques become quite straightforward via a recent online parameter identification approach. The importance of iPIs and especially of iPs is deduced from the presence of friction. The strange industrial ubiquity of classic PID's and the great difficulty for tuning them in complex situations is deduced, via an elementary sampling, from their connections with iPIDs. Several numerical simulations are presented which include some infinite-dimensional systems. They demonstrate not only the power of our intelligent controllers but also the great simplicity for tuning them.
Type de document :
Article dans une revue
International Journal of Control, Taylor & Francis, 2013, 86 (12), pp.2228-2252. 〈10.1080/00207179.2013.810345〉
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Contributeur : Michel Fliess <>
Soumis le : mercredi 20 novembre 2013 - 13:56:57
Dernière modification le : jeudi 7 février 2019 - 16:23:51
Document(s) archivé(s) le : samedi 8 avril 2017 - 01:53:12


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Michel Fliess, Cédric Join. Model-free control. International Journal of Control, Taylor & Francis, 2013, 86 (12), pp.2228-2252. 〈10.1080/00207179.2013.810345〉. 〈hal-00828135v2〉



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