| 학회 |
한국화학공학회 |
| 학술대회 |
2011년 가을 (10/26 ~ 10/28, 송도컨벤시아) |
| 권호 |
17권 2호, p.1293 |
| 발표분야 |
공정시스템 |
| 제목 |
Identification of a multivariable delta-operator stochastic state-space model with distributed time delays |
| 초록 |
A high sampling frequency is often required to monitor and control real processes. However, a high sampling frequency increases the uncertainty of the identified shift-operator discrete-time model due to the truncation error and also raises the model order by increasing the number of delay steps. This study has addressed the above two points and proposed a method to identify a compact delta-operator-based stochastic state-space model for a multiple-input multiple-output system with distributed time delays. The proposed method was applied to numerical processes to illustrate its performance and also to identify a 12-inch rapid thermal processing unit. |
| 저자 |
원왕연, 이광순
|
| 소속 |
서강대 |
| 키워드 |
delta operator; identification; high-order ARX model; small sampling period; large delay time
|
| E-Mail |
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| 원문파일 |
초록 보기 |
