Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks
Document typeConference report
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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.
CitationGrosso, J.; Ocampo-Martinez, C.; Puig, V. Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks. A: Mediterranean Conference on Control and Automation. "2012 20th Mediterranean Conference on Control & Automation : MED 2012 : conference digest". Barcelona: 2012, p. 1548-1553.