Proposes a two-layer MPC architecture with set-based methods for distributed constraint management that delivers recursive feasibility and resembles classical MPC formulations.
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems
2 Pith papers cite this work. Polarity classification is still indexing.
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Two-layer NRF-enabled architecture decomposes closed-loop maps for distributed state-space MPC implementations using pre-specified communication infrastructure and offline model-matching.
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Network-Realised Model Predictive Control Part II: Distributed Constraint Management
Proposes a two-layer MPC architecture with set-based methods for distributed constraint management that delivers recursive feasibility and resembles classical MPC formulations.
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Network-Realised Model Predictive Control Part I: NRF-Enabled Closed-loop Decomposition
Two-layer NRF-enabled architecture decomposes closed-loop maps for distributed state-space MPC implementations using pre-specified communication infrastructure and offline model-matching.