Iterative Distributed Moving Horizon Estimation for Linear Systems with Penalties on Both System Disturbances and Noise

The core message of this article is to develop an iterative partition-based distributed moving horizon estimation (DMHE) scheme for linear systems, where the local estimators penalize both system disturbances and measurement noise to provide accurate and stable state estimates.