Adaptive fuzzy identification and predictive control for industrial processes

作者：

Highlights：

• The learning of a T–S fuzzy model is performed from input/output data by hierarchical GAs.

• An initialization method is applied on HGA.

• The learned T–S fuzzy model is used on the GPC algorithm.

• The estimation of the flour concentration in the effluent of a real wastewater treatment.

• The proposed algorithm is applied on a real setup (two coupled DC motors).

摘要

•The learning of a T–S fuzzy model is performed from input/output data by hierarchical GAs.•An initialization method is applied on HGA.•The learned T–S fuzzy model is used on the GPC algorithm.•The estimation of the flour concentration in the effluent of a real wastewater treatment.•The proposed algorithm is applied on a real setup (two coupled DC motors).

论文关键词：Fuzzy identification,Hierarchical genetic algorithm,Predictive fuzzy control,Fuzzy generalized predictive control

论文评审过程：Available online 1 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.057