Adaptive control design with S-variable LMI approach for robustness and L2 performance
| Autor: | Dimitri Peaucelle, Harmonie Leduc |
|---|---|
| Přispěvatelé: | Équipe Méthodes et Algorithmes en Commande (LAAS-MAC), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT) |
| Rok vydání: | 2018 |
| Předmět: |
LMIs
0209 industrial biotechnology Uncertain polytopic systems Adaptive control Computer science Descriptor systems L2 performance 02 engineering and technology Quantitative Biology::Genomics Practical stability Computer Science Applications 020901 industrial engineering & automation Control and Systems Engineering Control theory Robustness (computer science) [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Parametric statistics |
| Zdroj: | International Journal of Control International Journal of Control, Taylor & Francis, 2020, 93 (2), pp.194-203. ⟨10.1080/00207179.2018.1554907⟩ International Journal of Control, 2020, 93 (2), pp.194-203. ⟨10.1080/00207179.2018.1554907⟩ |
| ISSN: | 1366-5820 0020-7179 |
| DOI: | 10.1080/00207179.2018.1554907 |
| Popis: | International audience; Matrix inequality based results are proposed for the design of direct adaptive control. The focus is on guaranteeing robustness of the closed-loop when facing both structured parametric uncertainties and input disturbances. Results apply to systems in descriptor form with polytopic uncertainties and readily extend to systems rational in the uncertain parameters. The exposed methodology is an extension of previous studies started in cooperation with Alexander L. Fradkov. These studies aim at applying up-to-date linear robust control tools for passivity-based adaptive control. The paper contributes to this framework with new parameter-dependent Lyapunov functions and new degrees of freedom in the adaptive laws offering the possibility to design controllers with improved closed-loop performances. |
| Databáze: | OpenAIRE |
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