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Network-realised model predictive control Part I: NRF-enabled closed-loop decomposition
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DOI：10.1016/j.automatica.2026.112968.png)
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Abstract
En 中文
A two-layer control architecture is proposed to enable scalable implementations for constraint-based decision strategies, such as model predictive controllers. The bottom layer is based upon a distributed feedback–feedforward scheme that directs the controlled network’s information flow according to a pre-specified communication infrastructure. Explicit expressions for the resulting closed-loop maps are obtained, and an offline model-matching procedure is proposed for designing the first layer. The obtained control laws are deployed via distributed state-space-based implementations, and the resulting closed-loop models enable predictive control design for the constraint management procedure described in our companion paper.
Keywords:
model predictive control
distributed control
networked systems
constraint management
closed-loop decomposition
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