A stochastic multi-parameters divergence method for online auto-tuning of fractional order PID controllers

This paper presents a stochastic multi-parameters divergence method for online parameter optimization of fractional-order proportional–integral–derivative (PID) controllers. The method is used for auto-tuning without the need for exact mathematical plant model and it is applicable to diverse plant t...

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Veröffentlicht in:	Journal of the Franklin Institute 2014-05, Vol.351 (5), p.2411-2429
Hauptverfasser:	Yeroglu, Celaleddin, Ates, Abdullah
Format:	Artikel
Sprache:	eng
Schlagworte:	Controllers Divergence Mathematical analysis Mathematical models Online Performance enhancement Proportional integral derivative Stochasticity
Online-Zugang:	Volltext
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