@misc{Grosso_Juan_M._Reliability-based,
 author={Grosso, Juan M. and Ocampo-Martinez, Carlos and Puig, Vicenç},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches.},
 abstract={The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators` availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.},
 type={artykuł},
 title={Reliability-based economic model predictive control for generalised flow-based networks including actuators` health-aware capabilities},
 keywords={model predictive control, flow-based networks, dynamic safety stocks, actuator health, service reliability, chance constraints, economic optimisation},
}