Identification of pH neutralization process based on a modified adaptive fuzzy c-regression algorithm
Achraf Jabeur Telmoudi, Moêz Soltani, Abdelkader Châari · 2018
This paper presents a new design procedure of an adaptive fuzzy c-regression model algorithm. The latter uses a fixed parameter in its objective function. To deal with this problem, we integrate an adaptive function into conventional adaptive fuzzy c-regression model in order to reduce the effect of an arbitrary choice of this parameter on the estimation accuracy of the model parameters. The proposed method is investigated and evaluated through the identification quality of the pH neutralization process. Finally, experimental results indicate the viability of the proposed algorithm.