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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/132961
Título

Reliability-based economic model predictive control for generalized flow-based networks including health-aware capabilities

AutorGrosso, J. M.; Ocampo-Martinez, Carlos; Puig, Vicenç
Palabras claveModel predictive control
Flow-based networks
Dynamic safety stocks
Actuator health
Service reliability
Chance constraints
Economic optimisation
Fecha de publicación2016
EditorWalter de Gruyter
CitaciónInternational Journal of Applied Mathematics and Computer Science 26(3): 641-654 (2016)
ResumenThis 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 dynamically allocate 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 considered case study.
DescripciónThis work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Versión del editorhttp://dx.doi.org/10.1515/amcs-2016-0044
URIhttp://hdl.handle.net/10261/132961
DOI10.1515/amcs-2016-0044
E-ISSN2083-8492
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