| Title |
Identification of Discrete-Time Low-Order Model from Pulse Response |
| Authors |
황지호(Jiho Hwang) ; 차승표(Seungpyo Cha) ; 김영철(Young Chol Kim) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.8.1062 |
| Keywords |
Method of moment matching ; Parameters identification ; Discrete-time low-order models |
| Abstract |
This paper presents a simple identification method for discrete-time low-order model of unknown delay process from pulse response. The key idea is to find the parameters of the model such that the first N moments of the unknown process and the model are equal. We first show that the k-th moment of a process can be determined by the moments of the input and output. The parameters and delay are estimated separately. It is shown that for a given delay, the parameters of the low-order model can be determined by solving linear equations in a matrix form. Delay of the model is estimated such that the integral of the absolute errors (IAE) of the candidate models with possible delays minimizes. The illustrative example shows that the proposed method can directly identify low-order models without order reduction process from a single pulse response. |