Publication
Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks
Conference Article
Conference
Mediterranean Conference on Control and Automation (MED)
Edition
20th
Pages
1548-1553
Doc link
http://dx.doi.org/10.1109/MED.2012.6265859
File
Abstract
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.
Categories
ART neural nets, fuzzy control, predictive control.
Author keywords
model predictive controller, neural networks, fuzzy logic, self-tuning, reliability, water transport network, hierarchical control
Scientific reference
J.M. Grosso, C. Ocampo-Martínez and V. Puig. Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks, 20th Mediterranean Conference on Control and Automation, 2012, Barcelona, pp. 1548-1553, IEEE.
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