Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
Round 1
Reviewer 1 Report
The work of the authors is highly appreciated. But few suggestions/queries from my end which needs to be addressed before publishing this work.
i) There are a lot of grammatical mistakes in the article. I have highlighted a few on the PDF file attached. But I invite the authors to go through in detail in the article
ii) In Page-8, could the authors justify on how they arrived at the unknown parts of dynamic function. The origin is not quite clear
iii) For the simulations performed, could the authors precise more about the packages used and the parameters employed (any specific memory requirement)
iv) The discussions for Figures 3 & 4 seems to be brief in Page-9. A detailed explanation could make it even more better.
Comments for author File: 
Comments.pdf
Author Response
We would like to thank you for your valuable comments and helpful suggestions on further improving the quality of our manuscript. We have carefully revised the manuscript and addressed all concerned issues. Please see the attachment for detail.
Author Response File: Author Response.pdf
Reviewer 2 Report
This paper proposes a method based on Gaussian process (GP) regression for tracking of fixed-wing unmanned aerial vehicles. The paper requires a lot of revisions. The reviewers’ comments are as follow.
- In introduction, it is mentioned that GP is better than some methods. However, it doesn’t show in the experiments.
- There is not the related work Section.
- The proposed method is not described very well.
- The proposed method requires flowchart and the pseudo code.
- There is not a section for quantitative criteria description.
- There are not tables to evaluate the performance of proposed method accurately.
- The proposed method is not compared with at least 4 published approaches.
- Dataset is not described.
Author Response
We would like to thank you for your valuable comments and helpful suggestions on further improving the quality of our manuscript. We have carefully revised the manuscript and addressed all concerned issues. Please see the attachment for detail.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Thank you for making the changes, the paper has clarified my queries
Author Response
We are grateful for your kind comment. We have carefully checked the grammer and other descriptions in the article and submitted a new version of our manuscript, and we used colored texts to highlight the main changes made to the previous version. Finally, let me thank you again for your comment.
Reviewer 2 Report
Thank you for your revision work.
One application of Gaussian process is in hyperspectral image classification. Please cite the following papers for application of GP in the first sentence of related work Section.
Spectral-spatial classification of hyperspectral images using wavelet transform and hidden Markov random fields, Geocarto International 33 (8), 771-790, 2018
Sparse-based classification of hyperspectral images using extended hidden Markov random fields, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 11, pp. 4101 – 4112, 2018
Author Response
We are grateful for your kind comment. We have carefully checked the grammar and other descriptions in the article and submitted a new version of our manuscript. We have cited two meaningful references you mentioned and we used colored texts to highlight the main changes made to the previous version. Finally, let me thank you again for your comment.
