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Processes
Volume 10
Issue 9
10.3390/pr10091736
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Article
Peer-Review Record

An Approximate Method of System Entropy in Discrete-Time Nonlinear Biological Networks

Processes 2022, 10(9), 1736; https://doi.org/10.3390/pr10091736
by Xiangyun Lin 1, Xinrui Wang 1, Weihai Zhang 2, Rui Zhang 3,* and Cheng Tan 4
Reviewer 1: Anonymous
Reviewer 3: Anonymous
Processes 2022, 10(9), 1736; https://doi.org/10.3390/pr10091736
Submission received: 29 June 2022 / Revised: 17 August 2022 / Accepted: 23 August 2022 / Published: 1 September 2022
(This article belongs to the Special Issue Advances in Nonlinear and Stochastic System Control)

Round 1

Reviewer 1 Report

Dear Authors,

 

Please, find attached some comments. 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The article presents a discussion about the entropy measurement of the biological nonlinear discrete-time system. In order to overcome the nonlinear Hamilton-Jacobi inequality (HJI) in the measurement procedure, the global linearization method is extended in the time system to the discrete-time system, so the HJI constrained optimization for the measurement of the system entropy of a discrete-time nonlinear biological system can be transformed to the constrained optimization problem of LMIs to compute the system entropy easily with the help of LMI Toolbox in MATLAB. The article is well-written and well-formulated, providing evidence for the three propositions stated. Therefore, the article is accepted for publication.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Please see the attached report for more details.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

The manuscript "processes-1766286" was presented to me for the second peer review to evaluate the improvement made during revision.

The main concern, which I expressed in the first report, related to multiple similarities between the present manuscript and the already published paper, i.e., Entropy 2015, 17, 6801-6833.

The authors have written a reponse, in which they discuss the differences between their manuscript and the paper cited above. After reading the response, I think that the manuscript "processes-1766286" can be considered a legitimate research paper that deserves publication.

The authors have also added two notes to their work to indicate the connections between their paper and the article from Entropy. I think it is necessary to properly to relate any new piece of research to the existing literature. Now it will be clear to any reader what the manuscript contributes to the field.
In conclusion, in my opinion, the manuscript if sufficient for publication in Processes (ISSN 2227-9717). The work is well-structured and rigorously written.

Author Response

Dear Prof.

Thank your for your comments.

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