Actuator Fault Interval Estimation for Multi-agent Systems Based on Ellipsoid Bundles
This paper proposes a robust ellipsoid bundles based fault interval estimation method for multi-intelligent systems with unknown but bounded uncertainties. Firstly,the actuator fault vectors are regarded as auxiliary state vectors and a new augmented system is constructed. Secondly,based on the graph theory,the multi-agent systems are organized into a global description. For this global system,an observer is designed based on a global relative output estimation error vector. Considering that the estimation error dynamical system is subject to unknown but bounded uncertainty,an ellipsoid bundle-based approach generates upper and lower bounds on the estimation error at each moment,which are then combined with the results of the observer's point estimation of the augmented and broadened states to generate the estimation intervals of the states and faults. Finally,the method proposed in this paper is validated in simulation based on several aircraft models.
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