2008 IEEE International Symposium on Industrial Electronics 2008
DOI: 10.1109/isie.2008.4677055
|View full text |Cite
|
Sign up to set email alerts
|

Design of predictor-based controllers for input-delay systems

Abstract: In this paper, a predictor-based controller is proposed for both linear and nonlinear systems with constant input delay. The central idea is that the control signal is constructed based on the prediction of the state in the future rather than on the current state. Its performance depends on the estimation accuracy. The controller developed for linear systems is mathematically equivalent to Artstein model reduction or finite spectrum assignment (FSA). For nonlinear systems in companion form or lower triangular … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2011
2011

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 5 publications
0
1
0
Order By: Relevance
“…However, the Smith predictor does not provide good closed loop performance in the presence of model mismatch and can only be applied for stable plants [2], [7]. Contrary to the Smith predictor, finite spectrum assignment or Artstein model reduction techniques and their extensions [8]- [14], [29]- [32] can be applied to unstable or multivariable linear plants. These predictor-based methods utilize finite integrals over past control values to reduce the delayed system to a delay free system.…”
Section: Introductionmentioning
confidence: 99%
“…However, the Smith predictor does not provide good closed loop performance in the presence of model mismatch and can only be applied for stable plants [2], [7]. Contrary to the Smith predictor, finite spectrum assignment or Artstein model reduction techniques and their extensions [8]- [14], [29]- [32] can be applied to unstable or multivariable linear plants. These predictor-based methods utilize finite integrals over past control values to reduce the delayed system to a delay free system.…”
Section: Introductionmentioning
confidence: 99%