Comparative performance study of QN and LM algorithms in predictive control for NNARX-identified model of hydro-power plant

Abstract

In this paper input-constrained predictive control strategy for NNARX (neural network non-linear auto-regression with exogenous signal) model of hydro-turbine is presented. The input (gate position) and output (turbine power) data are generated by means of dynamic plant model. The collected data are utilized to develop the NNARX model of the plant. Then NN… (More)
DOI: 10.1007/s00366-007-0055-0

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