Abstract | ||
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This paper focuses on the problem of fault detection (FD) for multi-agent networks when some follower agents are subjected to actuator or sensor faults. A distributed FD architecture is proposed by constructing a consensus-based estimator and the related residual. Using Lyapunov function method and Riccati equation, asymptotically stable condition for the novel estimator is derived, and the time-varying residual threshold for FD is determined. A numerical example is presented to illustrate the efficiency of the consensus-based approach for FD. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1007/s00034-017-0548-z | CSSP |
Keywords | Field | DocType |
Fault detection (FD),Consensus-based estimator,Riccati equation,Multi-agent networks | Residual,Lyapunov function,Mathematical optimization,Control theory,Fault detection and isolation,Riccati equation,Mathematics,Stability theory,Actuator,Estimator | Journal |
Volume | Issue | ISSN |
37 | 1 | 0278-081X |
Citations | PageRank | References |
2 | 0.37 | 19 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dan Zhao | 1 | 10 | 8.62 |
Ming Chi | 2 | 70 | 8.26 |
Zhihong Guan | 3 | 1704 | 135.76 |
Yonghong Wu | 4 | 7 | 1.80 |
Jie Chen | 5 | 130 | 17.02 |