Static output-feedback control under information structure constraints

An important challenge in the static output-feedback control context is to provide an isolated gain matrix possessing a zero–nonzero structure, mainly in problems presenting information structure constraints. Although some previous works have contributed some relevant results to this issue, a fully...

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Vydáno v:Automatica (Oxford) Ročník 49; číslo 1; s. 313 - 316
Hlavní autoři: Rubió-Massegú, J., Rossell, J.M., Karimi, H.R., Palacios-Quiñonero, F.
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.01.2013
Elsevier
Témata:
15 Linear and multilinear algebra; matrix theory
Anàlisi numèrica
Applied sciences
Automatic control
Automation
Automàtica i control
Classificació AMS
Computer science; control theory; systems
Control automàtic
Control system analysis
Control theory. Systems
Exact sciences and technology
Gain
Information structure constraints
Informàtica
Linear matrix inequalities
LMIs
Matemàtiques i estadística
Matrius (Matemàtica)
Matrix inequalities
Methodology
Mètodes numèrics
Output-feedback control
Àrees temàtiques de la UPC
LMIs
Information structure constraints
Output-feedback control
Closed feedback
Control constraint
Zero of polynomial
Linear matrix inequality
Feedback regulation
Information control
Output feedback
ISSN:0005-1098, 1873-2836
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Shrnutí:An important challenge in the static output-feedback control context is to provide an isolated gain matrix possessing a zero–nonzero structure, mainly in problems presenting information structure constraints. Although some previous works have contributed some relevant results to this issue, a fully satisfactory solution has not yet been achieved up to now. In this note, by using a Linear Matrix Inequality approach and based on previous results given in the literature, we present an efficient methodology which permits us to obtain an isolated static output-feedback gain matrix having, simultaneously, a zero–nonzero structure imposed a priori.
Bibliografie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2012.10.012