2009
DOI: 10.1016/j.jprocont.2007.12.004
|View full text |Cite
|
Sign up to set email alerts
|

MIMO Smith predictor: Global and structured robust performance analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2009
2009
2020
2020

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 39 publications
(16 citation statements)
references
References 18 publications
0
16
0
Order By: Relevance
“…In [53] a robust control design procedure is provided. It can be applied to the set of models that can be factorized into a rational MIMO model in series with left/ right diagonal (multiple) delay matrices.…”
Section: B Mimo Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…In [53] a robust control design procedure is provided. It can be applied to the set of models that can be factorized into a rational MIMO model in series with left/ right diagonal (multiple) delay matrices.…”
Section: B Mimo Systemsmentioning
confidence: 99%
“…Once stabilized, any approach ( [54], [55], [52], [57], [56], [39], [1], [53]) can be used to reduce the coupling and get the required performance.…”
Section: ) Stabilization Of Delayed Unstable Mimo Systemsmentioning
confidence: 99%
“…Recently, the SISO SP has been extended and generalized for MIMO systems. In [21], a structured uncertainty approach was implemented for SP's with diagonal delay matrices. This method, however, does not consider general and distinct time delays for each element of the plant transfer matrix.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, a transfer function matrix representation of the MIMO process is preferred in these cases [6]. Different approaches have been developed in order to design controller for multivariable systems with multiple time delays: some authors have extended the SP to the multivariable case [7][8][9]. In line with the previous ones, other works propose to solve the problem by means of an internal model control (IMC) applied to MIMO processes [10,11].…”
Section: Introductionmentioning
confidence: 99%