A new technique with improved control quality of nonlinear systems using an optimized fuzzy logic controller

作者：

Highlights：

• The proposed technique allowed to avoid the existence of large overshoots.

• The control process is accelerated by optimizing the number of fuzzy rules.

• The controlled system followed correctly the desired reference.

• This technique can be used to control high complex systems with variable behavior.

摘要

•The proposed technique allowed to avoid the existence of large overshoots.•The control process is accelerated by optimizing the number of fuzzy rules.•The controlled system followed correctly the desired reference.•This technique can be used to control high complex systems with variable behavior.

论文关键词：Improved control quality,Multi-criteria decision making,Non-dominated sorting genetic algorithm,Nonlinear systems,Fuzzy expert systems,Takagi-Sugeno fuzzy logic controller

论文评审过程：Received 30 May 2019, Revised 15 November 2019, Accepted 17 December 2019, Available online 19 December 2019, Version of Record 24 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113148