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In this paper, we propose a novel observer, called the average state observer, for large-scale network systems. This observer estimates the average behavior of the system with an estimation error assurance. To design an average state observer with explicit consideration of the estimation error, we first derive a tractable representation of the estimation error system. On the basis of this representation,...
In this paper, we propose a design method of average state Kalman filters for networked linear systems with stochastic noises. The average state Kalman filter is a low-dimensional estimator capturing the average behavior of systems from a macroscopic point of view. In general, it is nontrivial to find a set of states that captures the average behavior of systems. To overcome this difficulty, using...
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