Control and analysis of carbon monoxide concentration using fuzzy and recurrent fuzzy systems

This paper discusses the causes and effects of air pollution and uses engineering tools to come up with a solution. The paper considers the carbon monoxide concentration as an index of the air quality and uses the fuzzy based techniques to control the carbon monoxide concentration and also performs a comparative analysis. The fuzzy techniques being used for the control application are based on the traditional fuzzy type-1 system and the recurrent fuzzy system. The analysis is done in three different metro cities of India namely Delhi, Mumbai and Bengaluru. The robustness of the respective fuzzy based controllers has also been investigated. The analysis and results depict the superiority of recurrent fuzzy system over fuzzy type-1 system.