Shebel A.  AlSabbah, Mohammad A.  Al-Khedher, Tariq M.  Younes, 
    Evaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observer,
    Research Journal of Applied Sciences,
    Volume 7,Issue 2,
    2012,
    Pages 60-65,
    ISSN 1815-932x,
    rjasci.2012.60.65,
    (https://makhillpublications.co/view-article.php?doi=rjasci.2012.60.65)
    Abstract: In pH reactors, determination and control of pH is a common problem concerning chemical-based
industrial processes due to the non-linearity observed in the titration curve. The researchers introduced a
modified multiregional Fuzzy-Based Control System to overcome the complexity of precise control of pH. In
order to compensate for the experimental inaccuracies in measurements of pH <em>in-situ</em> values; an observer for
pH is implemented using Adaptive Neuro-Fuzzy Inference System (ANFIS). The pH control approach and
ANFIS-based observer are integrated in a nonlinear cascade structure to ensure the dynamic modifications and
stability enhancement. The cascade structure is designed using a multiregional fuzzy PI controller in the master
loop and a Wiener Model-based fuzzy proportional controller as a slave one. The Multiregional Fuzzy Cascade
Control (MFCC) structure is developed to implicate the three main regions of the titration curve.
    Keywords: Titration process;cascade structure;multiregional fuzzy;ANFIS;pH observer;Jordan