Two practical performance indexes for monitoring the Rhine-Meuse Delta water network via wavelet-based probability density function

@article{Kordestani2016TwoPP,
  title={Two practical performance indexes for monitoring the Rhine-Meuse Delta water network via wavelet-based probability density function},
  author={Mojtaba Kordestani and Ali Akbar Safavi and Narjes Sharafi},
  journal={Neurocomputing},
  year={2016},
  volume={177},
  pages={469-477}
}
Large scale systems (LSS) have a large size with several control loops. It is always demanding that all the local controllers of the LSS work in an optimal situation to raise the efficiency of the system. Therefore the performance monitoring of the distributed systems is common to detect any roots of deficiency in the subsystems. This paper presents control performance assessment (CPA) for the Rhine-Meuse Delta water network. The Delta water system consists of many rivers and sea outlets with… CONTINUE READING

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