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The Mann-Whitney test was used for numerical variables.
Pearson's correlation was used for numerical variables with normal distribution.
An analysis of variance (ANOVA) will be used for numerical variables, and a Chi-square test or Fisher exact test will be used for categorical variables.
The Chi-square test was used for nominal variables and the Kruskal-Wallis test was used for numerical variables to compare differences among the four intensity groups.
Student's t-test was used in cases of normal distribution, and otherwise the Mann-Whitney U test was used for numerical variables.
Student's t-test was used in cases of normal distribution; otherwise, the Mann-Whitney U test was used for numerical variables.
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The analysis of variance test (ANOVA) was used for numerical and continuous variables to assess differences between groups.
MATLAB is used for numerical simulation with the following options: Variable bound matrix of the proportional, integral, and derivative gains is [−0.001, 0.001], but for the states ((x_{3},x_{4})), the values are multiplied by hundred and ten for the difference of variation range.
Descriptive statistics were used for numerical (mean and median) and categorical (frequency or percentage) variables.
Frequencies and percentages have been adopted to summarize qualitative variables, while tools of descriptive statistics such as mean (± SD, standard deviation) and median was used for quantitative numerical variables.
The Kruskal Wallis test was used for the numerical variables and Chi test or Fisher's exact test as required for the categorical.
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