Abstract
This paper proposes a new method for designing decentralized state and interaction estimators for interconnected large-scale systems. For each subsystem, a local estimator is designed to estimate the interactions and states of the subsystem, using only the local output measurements. In each local station, first the overall large-scale system is split into two related subsystems: the i-th subsystem and the residue system (aggregation of other subsystems); then a low order dynamic model, closed to the dynamics of the main system, is considered for the interaction estimator. It is first shown that the balanced reduction technique can be used to construct an approximate model for the interaction dynamics. Then, a new method is developed and it is shown that in the proposed method the errors of estimation are globally ultimately stable with respect to a specific bound. An example illustrates then the effectiveness of the proposed method.
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