Distributed Optimization for Model Predictive Control of Linear Dynamic Networks With Control-Input and Output Constraints

@article{Camponogara2011DistributedOF,
  title={Distributed Optimization for Model Predictive Control of Linear Dynamic Networks With Control-Input and Output Constraints},
  author={Eduardo Camponogara and Helton Fernando Scherer},
  journal={IEEE Transactions on Automation Science and Engineering},
  year={2011},
  volume={8},
  pages={233-242}
}
A linear dynamic network is a system of subsystems that approximates the dynamic model of large, geographically distributed systems such as the power grid and traffic networks. A favorite technique to operate such networks is distributed model predictive control (DMPC), which advocates the distribution of decision-making while handling constraints in a systematic way. This paper contributes to the state-of-the-art of DMPC of linear dynamic networks in two ways. First, it extends a baseline… CONTINUE READING
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