Publication
Reliability-based economic model predictive control for generalized flow-based networks including actuators' health-aware capabilities
Journal Article (2016)
Journal
International Journal of Applied Mathematics and Computer Science
Pages
641-654
Volume
26
Number
3
Doc link
http://dx.doi.org/10.1515/amcs-2016-0044
File
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. 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.
Categories
control theory, optimisation, predictive control.
Author keywords
model predictive control; flow-based networks; dynamic safety stocks; actuator health; service reliability; chance constraints; economic optimisation
Scientific reference
J.M. Grosso, C. Ocampo-Martínez and V. Puig. Reliability-based economic model predictive control for generalized flow-based networks including actuators' health-aware capabilities. International Journal of Applied Mathematics and Computer Science, 26(3): 641-654, 2016.
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