$Model reference fractional order control using type-2 fuzzy neural networks structure: Implementation on a 2-DOF helicopter$

Model reference fractional order control using type-2 fuzzy neural networks structure: Implementation on a 2-DOF helicopter

In this paper, an adaptive learning algorithm is proposed for an interval type-2 fuzzy fractional order controller. The use of fractional order controller adds more degrees of freedom which makes it possible to obtain superior performance in comparison with ordinary differential controllers. A fract...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2016-06, Vol.193, p.268-279
Hauptverfasser:	Jalalian Khakshour, Alireza, Ahmadieh Khanesar, Mojtaba
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Control theory Controllers Dynamical systems Feedback error earning Fractional order control Helicopters Learning Model reference adaptive control Nonlinear dynamics Synchronism Type-2 fuzzy neural networks
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