Review Report 1：
The authors of the paper applied XXX算法 to estimate the unknown parameters of Lorenz chaotic system. The quality of the presented work estimates changing system parameters and might have a great deal of importance for control quality enhancement. The authors are kindly asked to discuss the following:

1- The introduction section should be improved. More papers should be reviewed. For instance:
这边是他的一些文章。

2- The advantages of XXX算法 rather than PSO, TLBO and eta. should be highlighted.
3- The simulation is online or offline!?. Please discuss the results of online parameter estimation more.
4- For fair comparison it is better to use for stopping criteria, max fitness evaluation.
5- Make code and experiment public! It is almost impossible to replicate results, without actual implementation (or to check my assumptions).
6- Statistic. At least if experiment is repeated 50 times, report of standard deviation is expected (needed to calculate significance, ...).
7- I suggest to use more different problems, with main focus on algorithms +/- compared to their expected/reported performance.

评论1的问题出在第二条意见，我的稿件中没有对比TLBO 算法，审稿人的意见要求增加跟TLBO 算法的对比，而我的改进算法并没有TLBO 算法好我的想法是不增加跟TLBO 算法的对比，而寻找一个比我的改进算法差的算法进行对比，各位大神您看这样合适吗？该如何解释，直接说我的改进算法效果不如TLBO 算法好？还是不提TLBO 算法这事？

Review Report 2：
The paper presents an improved parameter estimation method based on the XXX算法 technique. This method is applied to a Lorenz system, and some discussions and analyses about the influence of time series on the estimation accuracy are given.
From theoretical point of view, the paper does not offer significant new contributions, but the proposed method can be applied to various systems.
The paper is well written from technical point of view, but it requires several improvements. There are some remarks and comments which should be addressed to:
1. The notion of “complex system” should be explained by the authors. It refers to some complicated systems, or to nonlinear processes, or to hybrid (e.g. discrete plus continuous) systems? The example used in the paper is a Lorenz system, and the degree of complexity of this system is arguable.
2. The title of the paper should be slightly modified: “… for a complex system”, taking into account that the proposed method is applied only to a single Lorenz system, or “… for complex systems” if the paper generically addresses some “complex” systems.
3. The improvements proposed in the algorithms from section 3.2 necessitate some additional explanations. Which are the main differences between these algorithms and the previous ones?
4. The analysis performed for the Lorenz system seems to be accurate and with technical soundness. However, in order to highlight the advantages of the proposed method, maybe a more “complex” system should be analysed. For example, some systems from natural sciences (real-life examples), with many differential equations and a lot of parameters can be chosen. Furthermore, some experimental results (not only simulations) would increase very much the interest of the paper.
5. The English should be improved (for example: “…is an important problem in…”, and not “…is an importance problem in…” – see the abstract; “…However, in practice, parameters …”, and not “…However, in practical, parameters …” – see the introduction; “…In general, the dynamics of complex system…”, and not “…In general, the dynamical of complex system…” – see please the introduction; etc.).

评论2的问题在第4条意见，我的只是仿真，没有办法做实验，我的想法是增加一个电动机模型的例子。各位大神看该如何修改？

投稿的Discrete Dynamics in Nature and Society期刊，两个审稿人给的意见都是大修，编辑也给大修。第一次投SCI各位大神给点建议。谢谢啦！ 返回小木虫查看更多