کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
172820 | 458563 | 2012 | 8 صفحه PDF | دانلود رایگان |
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-in. rapid thermal processing unit.
► A method to identify a compact delta-operator-based stochastic state-space model.
► A method for identification of a MIMO system with distributed time delays.
► The method was applied to numerical processes and a 12-in. RTP unit.
Journal: Computers & Chemical Engineering - Volume 40, 11 May 2012, Pages 223–230