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

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.

Keywords:

• Fault estimation
• unbiased filtering
• complex network
• minimum variance
• time delay

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 61933007, 62033008, 62273087, and 12171124, the Shanghai Pujiang Program of China under Grant 22PJ1400400, the Natural Science Foundation of Heilongjiang Province of China under Grant ZD2022F003, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany.