@article{MAKHILLRJAS2012729183,
    title = {Evaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observer},
    journal = {Research Journal of Applied Sciences},
    volume = {7},
    number = {2},
    pages = {60-65},
    year = {2012},
    issn = {1815-932x},
    doi = {rjasci.2012.60.65},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2012.60.65},
    author = {Shebel A.,Mohammad A. and},
    keywords = {Titration process,cascade structure,multiregional fuzzy,ANFIS,pH observer,Jordan},
    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.}
    }