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.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zheng
authors.forename: Huajing
authors.initials: H
authors.lastname: Fang
authors.forename: Hua O
authors.initials: HO
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003195:Computer Communication Networks; D003198:Computer Simulation; D019544:Equipment Failure Analysis / Q000379:methods*; D005246:Feedback; D017143:Fuzzy Logic; D008390:Markov Chains; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted