UDC 62-503.51


Victor V. Solovyev1, Zargaryan Yuri Arturovich2, Vaarman Valentina Vladimirovna3, Park Marina Igorevna4
1Southern Federal University, Senior Lecturer, department of Automatic Control Systems
2Southern Federal University, Assistant, department of Automatic Control Systems
3Southern Federal University, student, department of Automatic Control Systems
4Southern Federal University, student, department of Automatic Control Systems

This paper focuses on developing a method of filling the rule base adaptive fuzzy controller, using a priori information obtained from experts or using the rules of non-adaptive fuzzy controller. The resulting rule base, can significantly reduce the time to adapt the controller and improve its quality closed-loop control.

Keywords: expert information, fuzzy control, interpolation of fuzzy rule base, the adaptation, the regulator

Category: 05.00.00 Technical sciences

Article reference:
The method of interpolation rule base fuzzy controller // Modern scientific researches and innovations. 2013. № 9 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2013/09/26467

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