Topology identification of network systems

Kokou Langueh 1 Gang Zheng 2 Thierry Floquet 1
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
2 DEFROST - Deformable Robots Simulation Team
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : — This paper investigates the topology identification problem for network systems, whose subsystems are described by ODEs. In our study, the topology connections are represented as constant parameters, therefore the topology identification is equivalent to identify the unknown parameters. A sufficient condition on parameter identifiability is firstly deduced in this paper, and then a uniform differentiator with fixed-time convergence is proposed to estimate the unknown parameters.
Type de document :
Communication dans un congrès
CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia
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https://hal.inria.fr/hal-01649395
Contributeur : Gang Zheng <>
Soumis le : lundi 27 novembre 2017 - 14:52:59
Dernière modification le : jeudi 11 janvier 2018 - 06:27:32

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  • HAL Id : hal-01649395, version 1

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Kokou Langueh, Gang Zheng, Thierry Floquet. Topology identification of network systems. CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. 〈hal-01649395〉

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