Distributed H∞-consensus fault detection for fuzzy systems with faults, switching network topology, packet dropouts and channel fading
File version
Author(s)
Yang, F
Han, QL
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Melbourne, Australia
License
Abstract
This paper is concerned with the distributed H∞-consensus fault detection (FD) filtering problem for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with faults, switching network topology, channel fading and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus FD filter to guarantee the sensitivity of the residual signal to the faults and the robustness of the residual system to effects of both switching network topology, channel fading and different communication channels-induced packet dropouts with different lossing rates. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus FD filter design criterion is derived such that the residual system is exponentially stable in the mean square, and the optimal H∞ filtering performance index is derived. A simulation example is conducted to verify the usefulness of the proposed FD filter design approach.
Journal Title
Conference Title
2018 Australian & New Zealand Control Conference (ANZCC)
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Artificial intelligence
Persistent link to this record
Citation
Qu, H; Yang, F; Han, QL, Distributed H∞-consensus fault detection for fuzzy systems with faults, switching network topology, packet dropouts and channel fading, 2018 Australian & New Zealand Control Conference (ANZCC), 2018, pp. 312-317