Neuro-fuzzy iterative learning control for 4-poster test rig

In this paper, a new control method is presented for the 4-poster test systems. The primary aim of the paper is to improve the convergence speed and decrease the error rate for model-based iterative learning control (ILC), a widely used method as a tracking control. First, the dynamic equations of t...

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Veröffentlicht in:	Transactions of the Institute of Measurement and Control 2020-08, Vol.42 (12), p.2262-2275
Hauptverfasser:	Dursun, Ufuk, Cansever, Galip, Üstoğlu, İlker
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Adaptive systems Artificial neural networks Computer simulation Convergence Fuzzy control Fuzzy logic Iterative methods Learning Parameters Tracking control
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