Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model

• Published in: Journal of the Franklin Institute Vol. 354; no. 6; pp. 2524 - 2542
• Main Authors: Youssef, T., Chadli, M., Karimi, H.R., Wang, R.
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.04.2017; Elsevier Science Ltd
• Subjects: Analysis; Computer simulation; Fault diagnosis; Faults; Fuzzy sets; Linear matrix inequalities; Matrix methods; Proportional integral; Stability analysis; Variables

This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose kth time derivatives are bounded. Using Lya...