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Peer-Review Record

A New Adaptive Fuzzy PID Controller Based on Riccati-Like Equation with Application to Vibration Control of Vehicle Seat Suspension

Appl. Sci. 2019, 9(21), 4540; https://doi.org/10.3390/app9214540
by Do Xuan Phu 1,2,* and Seung-Bok Choi 3,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2019, 9(21), 4540; https://doi.org/10.3390/app9214540
Submission received: 3 October 2019 / Revised: 18 October 2019 / Accepted: 19 October 2019 / Published: 25 October 2019
(This article belongs to the Section Acoustics and Vibrations)

Round 1

Reviewer 1 Report

The paper is well written and fits with the scope of the journal. I only recommend doing an English language style editing by a native proofreader. 

Author Response

Answers to the first referee's comments

 

 

Article ID: Applsci-620665.R1

Title: A New Adaptive Fuzzy PID Controller Based on Riccati-Like Equation with Application to Vibration Control of Vehicle Seat Suspension

 

The paper is well written and fits with the scope of the journal. I only recommend doing an English language style editing by a native proof-reader.

Ans.:

Thank you for the positive comments of reviewer. The manuscript has been polished by the native speaker to improve English.

 

I sincerely thank you for the valuable comments. I feel that the revised version of the manuscript reflects much better than what was intended in this work.

Reviewer 2 Report

This paper investigates the issue of adaptive control for vehicle seat suspension. This article is well written. The detailed comments are as follows:

It is suggested that the authors add a Remark in Section-2 to show the novelty of the adaptive fuzzy PID controller, and make a comparison with the existing methods. The adaptive control method can also combine with distributed optimization methods such as "IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2008-2022, 2019", "IEEE Transactions on Industrial Informatics, vo. 13, no. 6, pp. 3081-3097, 2017", "Neural Computing & Applications, DOI:1007/s00521-018-3798-1, 2018" and so on. These smart methods should also be included in the introduction part. Why you choose the initial value of Γn as 0.01? Fig. 8 is not clear. It is difficult to see the advantages of the proposed approach.

Author Response

Please refer to the uploaded file.

Author Response File: Author Response.doc

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