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


    Access

    Download


    Export, share and cite



    Title :

    Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks


    Contributors:

    Publication date :

    2012-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Reliable fault-tolerant model predictive control of drinking water transport networks

    Robles Guillem, Deneb / Puig Cayuela, Vicenç / Ocampo-Martínez, Carlos et al. | BASE | 2016

    Free access

    Adaptive Neuro-Fuzzy Controller

    Kishan Kumar Kumbla / Jamshidi, M. / Rodrieguiz, S. | British Library Conference Proceedings | 1997


    Neuro-fuzzy predictive control of an information-poor system

    Thompson, R / Dexter, A / Thompson, Richard | BASE | 2016

    Free access

    Batch-Wise Updating Neuro-Fuzzy Model Based Predictive Control for Batch Processes

    Li, Qinsheng / Jia, Li / Yang, Tian | Springer Verlag | 2014


    Batch-Wise Updating Neuro-Fuzzy Model Based Predictive Control for Batch Processes

    Li, Q. / Jia, L. / Yang, T. | British Library Conference Proceedings | 2014