On the applicability of the minimal configured hierarchical fuzzy control and its relevance to function approximation
This paper presents an approach to minimal hierarchical fuzzy control systems design. It maintains the idea of distributing behaviors inside a fuzzy structure, while the minimal hierarchical fuzzy control is an effective procedure for dealing with systems complexity and their control. The MCHFLS, minimal configured hierarchical fuzzy logic systems, is minimizing the fuzzy inferences parameters by adjusting essentially the variables associations and levels structures. This approach performs function approximation under conditions and it was tested on textile mill control.
anfis adaptive neuro fuzzy inference system fis fuzzy inference system flu fuzzy logic unit mcanhfls minimal configured adaptive neuro hierarchical fuzzy logic systems rmse root mean square error tsk takagi sugeno kang