Control of Nonlinear Systems Using Multiple Model Black-Box Identification

Sergey Kolyubin 1 Denis Efimov 2, 3 Vladimir Nikiforov 1 Alexey Bobtsov 1
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
3 SyNeR - Systèmes Non Linéaires et à Retards
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : The paper is devoted to development of control algorithms for nonlinear parametrically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algorithm for local models' parameters estimation and structure adjustment has been developed. Proposed approach allows straightforward designing of the combined feedforward/feedback controller.
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Submitted on : Monday, July 15, 2013 - 11:01:07 AM
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Sergey Kolyubin, Denis Efimov, Vladimir Nikiforov, Alexey Bobtsov. Control of Nonlinear Systems Using Multiple Model Black-Box Identification. IFAC Nolcos 2013, Sep 2013, Toulouse, France. ⟨hal-00844410⟩

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