Unknown Input Functional Observability of ...
Type de document :
Article dans une revue scientifique: Article original
Titre :
Unknown Input Functional Observability of Descriptor Systems with Neutral and Distributed Delay Effects
Auteur(s) :
Bejarano, Francisco [Auteur]
Instituto Politecnico Nacional [Mexico] [IPN]
Zheng, Gang [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Instituto Politecnico Nacional [Mexico] [IPN]
Zheng, Gang [Auteur]

Deformable Robots Simulation Team [DEFROST ]
Titre de la revue :
Automatica
Pagination :
186-192
Éditeur :
Elsevier
Date de publication :
2017-07-04
ISSN :
0005-1098
Mot(s)-clé(s) en anglais :
Descriptor systems
systems with time-delays
observability
unknown inputs
neutral delays
systems with time-delays
observability
unknown inputs
neutral delays
Discipline(s) HAL :
Informatique [cs]/Automatique
Résumé en anglais : [en]
In this paper a general class of linear systems with time-delays is considered, which includes linear classical systems, linear systems with commensurate delays, neutral systems and singular systems with delays. After given ...
Lire la suite >In this paper a general class of linear systems with time-delays is considered, which includes linear classical systems, linear systems with commensurate delays, neutral systems and singular systems with delays. After given a formal definition of functional backward observability (BO), an easily testable condition is found. The fulfillment of the obtained condition allows for the reconstruction of the trajectories of the system under consideration using the actual and past values of the system output and some of its derivatives. The methodology we follow consists in an iterative algorithm based upon the classical Silverman algorithm used for inversion of linear systems. By using basic module theory we manage to prove that the proposed algorithm is convergent. A direct application of studying functional observability is that a condition can be derived for systems with distributed delays also, we do this as a case of study. The obtained results are illustrated by two examples, one is merely academic but illustrates clearly the kind of systems which the proposed methodology works for and the other is a practical system with distributed delays.Lire moins >
Lire la suite >In this paper a general class of linear systems with time-delays is considered, which includes linear classical systems, linear systems with commensurate delays, neutral systems and singular systems with delays. After given a formal definition of functional backward observability (BO), an easily testable condition is found. The fulfillment of the obtained condition allows for the reconstruction of the trajectories of the system under consideration using the actual and past values of the system output and some of its derivatives. The methodology we follow consists in an iterative algorithm based upon the classical Silverman algorithm used for inversion of linear systems. By using basic module theory we manage to prove that the proposed algorithm is convergent. A direct application of studying functional observability is that a condition can be derived for systems with distributed delays also, we do this as a case of study. The obtained results are illustrated by two examples, one is merely academic but illustrates clearly the kind of systems which the proposed methodology works for and the other is a practical system with distributed delays.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/hal-01649577/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01649577/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01649577/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- 16-0704_04_MS.pdf
- Accès libre
- Accéder au document
- 16-0704_04_MS.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- 16-0704_04_MS.pdf
- Accès libre
- Accéder au document