Observer-based stabilization via LMIs for linear uncertain systems
| Autor: | Rajesh Rajamani, H. Kheloufi, Fazia Bedouhene, Ali Zemouche |
|---|---|
| Přispěvatelé: | Zemouche, Ali, Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Department of Electrical and Computer Engineering [Minneapolis] (ECE), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Laboratoire de Mathématiques Pures et Appliquées [Tizi-Ouzou] (LMPA), Université Mouloud Mammeri [Tizi Ouzou] (UMMTO) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Controller design
0209 industrial biotechnology Mathematical optimization Observer (quantum physics) Linear system Uncertain systems 02 engineering and technology State of the art review 020901 industrial engineering & automation Control theory [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm design Observer based Design methods [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering Mathematics |
| Zdroj: | 54th IEEE Conference on Decision and Control 54th IEEE Conference on Decision and Control, Dec 2015, Osaka, Japan CDC |
| Popis: | International audience; In this note, we present a new observer-based controller design method for linear systems with uncertain parameters. After a state of the art review, a novel LMI design procedure is proposed to solve the problem. This new algorithm works in two steps and provides less conservative LMI conditions than those available in the literature. Analytic comparisons related to some old methods are addressed. A simulation example is presented in order to illustrate the superiority of the proposed new algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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