DocumentCode :
2941732
Title :
Adaptive multilevel neuro-fuzzy Model Predictive Control for Drinking Water Networks
Author :
Grosso, J.M. ; Ocampo-Martínez, C. ; Puig, V.
Author_Institution :
Inst. de Robot. i Inf. Ind., Adv. Control Syst. Group (SAC), UPC, Barcelona, Spain
fYear :
2012
fDate :
3-6 July 2012
Firstpage :
1548
Lastpage :
1553
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.
Keywords :
adaptive control; fuzzy control; neurocontrollers; predictive control; self-adjusting systems; water supply; Barcelona Water Network; MPC level; MPC strategy; adaptive multilevel neuro-fuzzy model predictive control; drinking water transport network management; fuzzy level; fuzzy logic; multilevel controller; neural level; neural networks; receding horizon tuning; selftuning capability; soft-control techniques; Computational modeling; Economics; Neural networks; Optimization; Predictive models; Safety; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
Type :
conf
DOI :
10.1109/MED.2012.6265859
Filename :
6265859
Link To Document :
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