Presentado al 20th MED celebrado en Barcelona del 3 al 6 de julio de 2012. ; This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for drinking water transport network management. The system is a multilevel controller with three hierarchical layers: neural level, fuzzy level, MPC level. Results in the Barcelona Water Network have shown that the quasi-explicit nature of the proposed predictive controller leads to improve the computational time, especially when the complexity of the problem structure can vary while tuning the receding horizons. ; This work has been supported by Spanish research project WATMAN (CICYT DPI2009-13744) of the Science and Technology Ministry and the DGR of Generalitat de Catalunya (SAC group Ref. 2009/SGR/1491). ; Peer Reviewed
Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks
2012-01-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC: | 629 |
Reliable fault-tolerant model predictive control of drinking water transport networks
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