Intelligent Adaptive Fuzzy Control

被引：0

作者：

Didekova, Zuzana ^{[1
]}

Kajan, Slavomir ^{[1
]}

Kozakova, Alena ^{[1
]}

Kozak, Stefan ^{[2
]}

机构：

[1] Slovak Univ Technol Bratislava, Fac Elect Engn & Informat Technol, Bratislava, Slovakia

[2] Pan European Univ, Fac Informat, Bratislava, Slovakia

来源：

2018 CYBERNETICS & INFORMATICS (K&I) | 2018年

关键词：

adaptive control; fuzzy hybrid systems; fuzzy logic; genetic algorithms; hybrid intelligent methods; nonlinear systems;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper deals with the development of a new adaptive fuzzy control method and algorithm for nonlinear dynamic systems based on the hybrid approach using fuzzy logic and genetic techniques. The new hybrid control methodology based on adaptive switching uses the principle of control parameters adaptation for all operating points of a highly nonlinear process. The control algorithm is realized by a fuzzy controller with parameter optimization for different operating points using a genetic algorithm. Proposed theoretical results are verified on a case study dealing with control design for a nonlinear model of continuously stirred tank reactor. Obtained practical results confirm the high performance and possibility of implementation of this methodology for a broad real plants in industry.

引用

页数：5