Paper Info
Title
Takagi-Sugeno fuzzy-model-based fault detection for networked control systems with Markov delays.
Abstract
A Takagi-Sugeno (T-S) model is employed to represent a networked control system (NCS) with different network-induced delays. Comparing with existing NCS modeling methods, this approach does not require the knowledge of exact values of network-induced delays. Instead, it addresses situations involving all possible network-induced delays. Moreover, this approach also handles data-packet loss. As an application of the T-S-based modeling method, a parity-equation approach and a fuzzy-observer-based approach for fault detection of an NCS were developed. An example of a two-link inverted pendulum is used to illustrate the utility and viability of the proposed approaches.
Year
DOI
Venue
2006
10.1109/TSMCB.2005.861879
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
Keywords
DocType
Volume
different network-induced delay,networked control system,t-s-based modeling method,markov delay,fuzzy-observer-based approach,data-packet loss,possible network-induced delay,takagi-sugeno fuzzy-model-based fault detection,exact value,ncs modeling method,network-induced delay,parity-equation approach,packet loss,transfer matrix,markov processes,fault detection,fuzzy control,inverted pendulum
Journal
36
Issue
ISSN
Citations 
4
1083-4419
61
PageRank 
References 
Authors
2.75
3
3
Name
Order
Citations
PageRank
Ying Zheng1766.30
Huajing Fang21849.32
Hua O Wang32319209.28