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为了缩短现有系统参数辨识方法计算量,利用系统输入输出数据,估计出一假想阶次n(大于实际系统阶次)下的系统参数,再通过有理分式等价理论,可以依次求得小于n各阶次时的参数估计,然后通过准则函数来确定系统的真实阶次和参数估计。这种方法只需对一个较大的n进行递推计算,大大减少了计算量,具有计算量小的特点。仿真结果说明提出方法用于估计系统参数和阶次是有效的。
In order to shorten the computational complexity of the existing system parameter identification method, the input and output data of the system are used to estimate the system parameters under an assumed order n (greater than the actual system order). By using rational fractional equivalence theory, n parameters of each order estimation, and then through the criteria function to determine the system’s true order and parameter estimates. This method only needs to recursively calculate a larger n, which greatly reduces the computational complexity and has the characteristics of small computation. Simulation results show that the proposed method is effective in estimating system parameters and order.