Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs

Sebin Gracy 1 Federica Garin 1 Alain Y. Kibangou 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : This paper studies linear time-varying (LTV) network systems affected by multiple unknown inputs. The goal is to reconstruct both the initial state and the unknown input. The main result is a characterization of strong structural input and state observability, i.e., the conditions under which both the whole network state and the unknown input can be reconstructed for all system matrices that share a common zero/non-zero pattern. This characterization is in terms of strong structural observability of a suitably-defined linear time-invariant (LTI) subsystem.
Document type :
Conference papers
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download

http://hal.univ-grenoble-alpes.fr/hal-01507387
Contributor : Sebin Gracy <>
Submitted on : Thursday, April 13, 2017 - 9:43:57 AM
Last modification on : Saturday, July 28, 2018 - 1:14:57 AM

File

ifacv3.2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01507387, version 1

Collections

Citation

Sebin Gracy, Federica Garin, Alain Y. Kibangou. Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs. 20th IFAC World Congress (IFAC WC 2017), IFAC, Jul 2017, Toulouse, France. pp.7618-7623. ⟨hal-01507387⟩

Share

Metrics

Record views

746

Files downloads

446