Reliability-Based Economic Model Predictive Control for Generalised Flow-Based Networks including Actuators' Health-Aware Capabilities

Published on Sep 1, 2016in International Journal of Applied Mathematics and Computer Science1.504
· DOI :10.1515/amcs-2016-0044
J.M. Grosso9
Estimated H-index: 9
(UPC: Polytechnic University of Catalonia),
Carlos Ocampo-Martinez19
Estimated H-index: 19
(UPC: Polytechnic University of Catalonia),
Vicenç Puig37
Estimated H-index: 37
(UPC: Polytechnic University of Catalonia)
AbstractThis paper proposes a reliability-based economic model predictive control MPC strategy for the management of generalised 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. 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.
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