Fault estimation for nonlinear systems with sensor gain degradation and stochastic protocol based on strong tracking filtering

• Published in: Systems science & control engineering Vol. 9; no. S2; pp. 60 - 70
• Main Authors: Xu, Jie, Sheng, Li, Gao, Ming
• Format: Journal Article
• Language: English
• Published: Macclesfield Taylor & Francis 03.05.2021; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Degradation; fault estimation; Nonlinear systems; sensor gain degradation; Sensors; Signal transmission; State vectors; stochastic protocol; strong tracking filter; Tracking filters

This paper focuses on the fault estimation problem for a class of nonlinear systems with sensor gain degradation and stochastic protocol (SP) based on strong tracking filtering. The phenomenon of the sensor gain degradation is described by sequences of stochastic variables in a known interval. The s...