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This work considers distributed moving horizon state estimation of nonlinear systems subject to communication delays and data losses. In the proposed design, a local estimator is designed for each subsystem and the distributed estimators communicate to collaborate. Within each local estimator, an open-loop predictor is embedded. A two-step prediction-update strategy is used in the predictor design...
In this work, we focus on iterative distributed model predictive control (DMPC) of large-scale nonlinear systems subject to delayed state feedback. The motivation for studying this control problem is the presence of delayed measurements in feedback control of large-scale chemical processes and the potential use of sensors and actuators in industrial applications to improve closed-loop performance...
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