Singularly perturbed unified time systems with low sensitivity to model reduction using delta operators
- Auteur
- SHIM, Kyu-Hong1 ; SAWAN, M. Edwin2
[1] Sejong-Lockheed Martin Aerospace Research Center, Sejong University, 98 Kunja, Kwangjin, Seoul 143-747, Korea, Republic of
[2] Electrical and Computer Engineering Department, Wichita State University, Wichita, KS 67260, United States - Source
International journal of systems science. 2006, Vol 37, Num 4, pp 243-251, 9 p ; ref : 22 ref
- CODEN
- IJSYA9
- ISSN
- 0020-7721
- Domaine scientifique
- Control theory, operational research
- Editeur
- Taylor & Francis, London
- Pays de publication
- United Kingdom
- Type de document
- Article
- Langue
- English
- Mot clé (fr)
- Commande retour état Condition optimalité Critère optimalité Méthode perturbation Perturbation singulière Rétroaction Sensibilité faible Système ordre réduit Temps continu
- Mot clé (en)
- State feedback Optimality condition Optimality criterion Perturbation method Singular perturbation Feedback regulation Low sensitivity Reduced order systems Continuous time
- Mot clé (es)
- Bucle realimentación estado Condición optimalidad Criterio optimalidad Método perturbación Perturbación singular Retroacción Baja sensibilidad Tiempo continuo
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02D Automatique théorique. Systèmes / 001D02D02 Théorie des systèmes
- Discipline
- Computer science : theoretical automation and systems
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 17671536
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/00207720600568053 
https://dx.doi.org/10.1080/00207720600568053
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