@article{MAKHILLIJSSCEA201710228803,
    title = {A New Optimal Method to Tune PI Controllers using Evolutionary Polynomial Regression},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {10},
    number = {2},
    pages = {93-100},
    year = {2017},
    issn = {1997-5422},
    doi = {ijssceapp.2017.93.100},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2017.93.100},
    author = {Arman and},
    keywords = {Tuning methods,PI controller,frequencydomain criterion,evolutionary polynomial regression,FOPDT},
    abstract = {A new optimal method is proposed to tune PI
controllers for the First Order Plus Dead Time (FOPDT)
models. In this approach, a performance index is
employed with specification of the infinity-norm of the
sensitivity and complementary sensitivity functions. This
criterion determines desire values of PI controller
parameters for a bank of FOPDT models. Then an
Evolutionary polynomial regression is applied to extract
a tuning rule for PI controllers. At the end, the
performance of recommended method is evaluated by
several case study simulations.}
    }