2010
DOI: 10.1049/iet-pel.2008.0271
|View full text |Cite
|
Sign up to set email alerts
|

LMI robust control design for boost PWM converters

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
91
0
4

Year Published

2010
2010
2021
2021

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 131 publications
(95 citation statements)
references
References 22 publications
0
91
0
4
Order By: Relevance
“…de Toulouse, INSA, LAAS, F-31400 Toulouse France garcia@laas.fr L. Zaccarian is with CNRS, LAAS, 7 avenue du colonel Roche, F-31400 Toulouse, Univ. de Toulouse, LAAS, F-31400 Toulouse, France and Dipartimento di Ingegneria Industriale, University of Trento, Italy zaccaian@laas.fr derive averaged models, in general bilinear, allowing the use of all the methods developed in the context of nonlinear systems (feedback linearization, flatness, passivity... see for example [12] and references therein) or, in the case of linear models obtained from linearization of bilinear averaged ones, the use of powerful linear control design techniques (see for example, [2], [9], [14]). Among the main limitations, we can point out a difficulty for quantifying the precision of the approximation obtained by averaging procedure and the fact that the control laws properties are only valid locally.…”
Section: Introductionmentioning
confidence: 99%
“…de Toulouse, INSA, LAAS, F-31400 Toulouse France garcia@laas.fr L. Zaccarian is with CNRS, LAAS, 7 avenue du colonel Roche, F-31400 Toulouse, Univ. de Toulouse, LAAS, F-31400 Toulouse, France and Dipartimento di Ingegneria Industriale, University of Trento, Italy zaccaian@laas.fr derive averaged models, in general bilinear, allowing the use of all the methods developed in the context of nonlinear systems (feedback linearization, flatness, passivity... see for example [12] and references therein) or, in the case of linear models obtained from linearization of bilinear averaged ones, the use of powerful linear control design techniques (see for example, [2], [9], [14]). Among the main limitations, we can point out a difficulty for quantifying the precision of the approximation obtained by averaging procedure and the fact that the control laws properties are only valid locally.…”
Section: Introductionmentioning
confidence: 99%
“…Conditions (26) and (27) This result is readily extended to uncertain systems with a polytopic representation [7], [11].…”
Section: Fb X T B W T Z T C D B X T D W Tmentioning
confidence: 93%
“…This fact has prompted some authors to apply LMI control in the dc-dc converter field [6], [7], [17], [18]. This technique allows us to ensure the satisfaction of requirements on stability, closed-loop pole placement and control effort and, simultaneously, to maximize the level of disturbance rejection.…”
Section: Introductionmentioning
confidence: 99%
“…LMI control technique uses modern numerical optimization methods to ensure the control requirements and thus to obtain the controller parameters [38]. Some authors have reported LMI controller for switching regulator [39]- [41]. This technique allows to ensure requirements on stability, a prescribed closed loop pole placement, and control effort.…”
Section: Introductionmentioning
confidence: 99%