Name
Title | ||
|---|---|---|
Multivariable control performance assessment based on generalized minimum variance benchmark |
Abstract | ||
|---|---|---|
This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance benchmark. Firstly an explicit expression for the feedback controller-invariant (here we call it generalized minimum variance) term of the multivariable control systems is obtained, and consequently the derived feedback controller-invariant term is used as a standard benchmark for the assessment of the control performance of MIMO processes. The proposed approach is based on the multivariable minimum variance benchmark and univariate generalized minimum variance benchmark. It is the extension of the above two benchmarks. In comparison with the minimum variance benchmark, the new approach is more reasonable and practical for the control performance assessment of multivariable systems. However, it does need more information of the process. The utility of the developed approach is illustrated by simulation example. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400054 | 中国化学工程学报(英文版) |
Keywords | DocType | Volume |
generalized minimum variance benchmark,minimum variance control,generalized minimum variance,multivariable control performance assessment,multivariable minimum variance benchmark,feedback,multi- variable control system,multivariable control systems,mimo processes,multivariable generalized minimum variance feedback controller-invariant,control performance assessment,multivariable systems,mimo systems,transfer functions,process control,minimum variance,mimo,data mining,yttrium,benchmark testing | Conference | 18 |
Issue | ISSN | ISBN |
01 | 0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||