Design of an Intelligent NPID Controller Based on Genetic Algorithm for Disturbance Rejection in Single Integrating Process with Time Delay
Round 1
Reviewer 1 Report
A clearly written manuscript with a concise review on genetic algorithm. Adding an example on Marine engineering will be most intriguing but not required.
Author Response
Thank you for reviewing this paper.
Next paper would try to add an example on Marine engineering.
I will attach my revision paper.
Thank you.
Reviewer 2 Report
Dear from the esteemed journal,
This article contains:
Abstract (Clear description of the contains the research);
Introduction (The shorter description of known things and the motivation for further work);
SIPTD Model and PID Controller (SIPTD Model, PID Controller)
Design of Intelligent NPID Controller (Proposed Intelligent NPID Controller, Real coded Genetic Algorithm, Tuning of NPID Controller);
Simulation and Review (PIPTD Model, IFOPTD Model)
Conclusion (Description of given results);
References (16 items).
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Remarks and general opinion:
I saw that the article is well and clearly written with several new and
original approaches and methods. It seems that all explanations are
correct. Unique my remark is: on page 6 it should 3.2. Real...instead 3.3.
Real...The article also contains several figures and tables. I suggest that
author check the names of all authors as well as all the journals in the list
of references including the abbreviations of ones.
Missing
I also saw that in the list of reference missing some recent items from the
similar subject. Author if agree can add ones in the list of references:
1. Aleksandra A. Sretenovi´c et all., Support vector machine for the prediction of heating energy use, Thermal Science, Vol. 22, Issue suppl.4, pp.
1171-1181, 2018, doi: https://doi.org/10.2298/TSCI170526126S
2. Jovanovi´c Radiša Z., Sretenovi ˇ ´c Aleksandra A., Various multistage
ensembles for prediction of heating energy consumption, Modeling, Identification and Control, Vol. 36, No. 2, 2015, pp. 119-132, doi: 10.4173/mic.2015.2.4
3. Jovanovi´c Radiša Z., et al., ˇ Multistage ensemble of feedforward neural
networks for prediction of heating energy consumption, Thermal Science, Vol
20, No 4, 2014, pp.1321 - 1331, doi:10.2298/TSCI150122140J
Conclusion and recommendation
Revise according to the above remarks. After that I will strongly recommend it for publication without any new improvements and re-review.
Author Response
Thank you for reviewing this paper meticulously.
And I appreciate that finding some shortcomings.
I revised that "Unique my remark is: on page 6 it should 3.2. Real...instead 3.3."
And I added no.1, 2 references as reviewer's mentioned
"1. Aleksandra A. Sretenovi´c et all., Support vector machine for the prediction
of heating energy use, Thermal Science, Vol. 22, Issue suppl.4, pp.
1171-1181, 2018"
"2. Jovanovi´c Radiša ˇZ., Sretenovi´c Aleksandra A., Various multistage
ensembles for prediction of heating energy consumption, Modeling, Identification
and Control, Vol. 36, No. 2, 2015, pp. 119-132"
Revised paper is attached.
Once again, Thank you for reviewing this paper