“…The first type of methods is generally called traditional identification methods, like fitting method based on Least Squares [8], subspace identification [16], multiple linear regression method [18], and so on. This type of methods is simple and intuitive; however, the identified parameters have larger errors, and hence it is usually used in applications with lower accuracy demand [19,20]. The second type of methods is generally called bionic intelligent optimization algorithms, like PSO [21], genetic algorithm (GA), [22] and so on.…”