A model-based PID controller for Hammerstein systems using B-spline neural networks

DOI10.1002/ACS.2293zbMath1331.93042OpenAlexW2166667156WikidataQ56895241 ScholiaQ56895241MaRDI QIDQ2795803

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Publication date: 22 March 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2293

zbMATH Keywords

system identificationadaptive controlHammerstein modelPID controllerde Boor algorithmB-spline neural networkmultistep-ahead prediction

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30) Adaptive control/observation systems (93C40) Hierarchical systems (93A13)

Related Items (3)

A robust adaptive control method for Wiener nonlinear systems ⋮ Robust adaptive control of Hammerstein nonlinear systems and its application to typical CSTR problems ⋮ Some recent advances in learning and adaptation for uncertain feedback control systems

Cites Work

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• System identification based on Hammerstein model

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