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Complex Continuous Nonlinear Systems: Their Black Box Identification And Their Control

Michel Fliess 1 Cédric Join 1, 2 Hebertt Sira-Ramirez 3
1 ALIEN - Algebra for Digital Identification and Estimation
Inria Lille - Nord Europe, Inria Saclay - Ile de France, Ecole Centrale de Lille, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR8146
Abstract : Recent advances in estimation theory permit a new approach to nonlinear black box identification, where a phenomenological model is replacing a precise mathematical description. Convincing simulations are provided for two examples: 1) the classic ball and beam system, 2) a large scale linear system, where our setting may be regarded as a powerful alternative to model reduction.
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https://hal.inria.fr/inria-00000824
Contributor : Michel Fliess <>
Submitted on : Tuesday, November 22, 2005 - 1:44:23 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:20 PM
Long-term archiving on: : Friday, April 2, 2010 - 7:58:20 PM

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Michel Fliess, Cédric Join, Hebertt Sira-Ramirez. Complex Continuous Nonlinear Systems: Their Black Box Identification And Their Control. Proc. 14th IFAC Symposium on System Identification (SYSID 2006), Mar 2006, Newcastle, Australia. ⟨inria-00000824⟩

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