Abstract
Robust distributed state estimation is investigated in this paper for a networked dynamical system composed of many subsystems interacting with each other. The explicit and recursive expressions for the pseudo covariance matrix of the prediction errors and the update gains for each individual subsystem are derived, then the robust distributed state predictor is realized under the coordination of a collaboration unit. Numerical simulations show that the obtained robust distributed state estimator has nice estimation performances than that only based on the nominal parameters.
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