Unbiased state and fault estimation for discrete-time complex networks with time delays

Yang Liu, Zidong Wang, Lei Zou, Jun Hu, Donghua Zhou

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this paper, the joint state and fault estimation problem for a class of discrete-time complex networks with time delays is investigated. The information on the dynamics of the fault is not required with an appropriate structure of the proposed fault estimator. Unbiased state and fault estimation can be obtained simultaneously at each node only with locally available information, thereby avoiding the requirement of a centre node which collects information from every node. Considering the effects of time delays and the interconnections between different nodes, an upper bound of the estimation error covariance is calculated, and the desired filter parameters are obtained in a recursive manner such that the trace of the bound is minimised. The existence conditions of the developed filter are provided explicitly as well. Finally, a simulation example is employed to demonstrate the state estimation and fault diagnosis performances of the given strategy.

Original languageEnglish
JournalInternational Journal of Control
Early online date13 Jul 2023
DOIs
Publication statusE-pub ahead of print - 13 Jul 2023

Cite this