Abstract
Network-induced delay in networked control systems (NCS) is inherent non-uniform distribution and behaves with multifractal nature. However, such network characteristics have not been well considered in the fault detection and isolation of NCS. Making use of those statistical characteristics of NCS network-induced delay, a delay-distribution-based fault detection model is proposed, which is greatly different from the existing Markov switching process model. From this model together with a tighter bounding technique for cross-product terms, a delay-distribution-dependent H ∞ fault detection filter is carried out with significantly improved results. A numerical example is given to demonstrate the effectiveness of the proposed method.
Acknowledgement
The authors would like to acknowledge Natural Science Foundation of China (NSFC) for its support under grant numbers 60704024 and 60774060.