Chance‐constrained model predictive control a reformulated approach suitable for sewer networks

@article{Svensen2020ChanceconstrainedMP,
  title={Chance‐constrained model predictive control a reformulated approach suitable for sewer networks},
  author={Jan Lorenz Svensen and Hans Henrik Niemann and Anne Katrine Falk and Niels Kj{\o}lstad Poulsen},
  journal={Advanced Control for Applications: Engineering and Industrial Systems},
  year={2020},
  volume={3}
}
In this work, a revised formulation of chance‐constrained (CC) model predictive control (MPC) is presented. The focus of this work is on the mathematical formulation of the revised CC‐MPC, and the reason behind the need for its revision. The revised formulation is given in the context of sewer systems, and their weir overflow structures. A linear sewer model of the Astlingen benchmark sewer model is utilized to illustrate the application of the formulation, both mathematically and performance… 
2 Citations

Sewer orientated framework for ensemble‐based chance‐constrained model predictive control

In this work, we present a framework for ensemble‐based (E) chance‐constrained (CC) model predictive control (MPC) in sewer systems. The framework considers the availability of ensemble forecasts and

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