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аналитика - Process control and estimation
Partition-based Distributed Extended Kalman Filter for Estimating Large-Scale Nonlinear Processes in Chemical and Wastewater Treatment Applications
The authors propose a scalable and efficient partition-based distributed extended Kalman filter method for estimating the states of general nonlinear processes consisting of interconnected subsystems.
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.
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