State estimation and fault detection for 2-D discrete-time systems

Dalil Ichalal (1) , Benoît Marx (2) , José Ragot (2)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 CRAN - Centre de Recherche en Automatique de Nancy

This paper presents an observer based sensor fault diagnosis for 2-D systems. Firstly, a state observer is designed by taking into account the measurements in a fixed length sliding window. Secondly, structured residual signals are generated by a bench of finite memory state observers which allow to detect and isolate sensor faults affecting the system. Finally, simulation results are given to illustrate the proposed approach.

Domains: Automatic; Engineering Sciences [physics]

Dalil Ichalal, Benoît Marx, José Ragot. State estimation and fault detection for 2-D discrete-time systems. 26th Mediterranean Conference on Control and Automation, MED’18, Jun 2018, Zadar, Croatia. ⟨10.1109/MED.2018.8442908⟩. ⟨hal-01777593⟩