JOURNAL ARTICLE

Zonotopic fault detection observer design for Takagi–Sugeno fuzzy systems

Jitao LiZhenhua WangYi ShenYe Wang

Year: 2018 Journal:   International Journal of Systems Science Vol: 49 (15)Pages: 3216-3230   Publisher: Taylor & Francis

Abstract

This paper considers zonotopic fault detection observer design in the finite-frequency domain for discrete-time Takagi–Sugeno fuzzy systems with unknown but bounded disturbances and measurement noise. We present a novel fault detection observer structure, which is more general than the commonly used Luenberger form. To make the generated residual sensitive to faults and robust against disturbances, we develop a finite-frequency fault detection observer based on generalised Kalman–Yakubovich–Popov lemma and P-radius criterion. The design conditions are expressed in terms of linear matrix inequalities. The major merit of the proposed method is that residual evaluation can be easily implemented via zonotopic approach. Numerical examples are conducted to demonstrate the proposed method.

Keywords:
Control theory (sociology) Fault detection and isolation Residual Observer (physics) Mathematics State observer Fuzzy logic Bounded function Frequency domain Linear matrix inequality Alpha beta filter Fuzzy control system Lemma (botany) Kalman filter Computer science Algorithm Mathematical optimization Nonlinear system Actuator Artificial intelligence Extended Kalman filter Control (management)

Metrics

16
Cited By
1.33
FWCI (Field Weighted Citation Impact)
47
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Processing Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.