System identification of nonlinear dynamical models: Application to wastewater treatment plant

Abstract

The paper presents a novel approach to identification of stochastic nonlinear dynamic systems using efficient approximation methods. The motivation behind this work is to develop a computationally efficient and robust algorithm for estimation of wastewater treatment plant model parameters. The mathematical model of the plant is required for the application… (More)
DOI: 10.1109/CCA.2010.5611188

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@article{Gasperin2010SystemIO, title={System identification of nonlinear dynamical models: Application to wastewater treatment plant}, author={Matej Gasperin and Darko Vrecko and Dani Juricic}, journal={2010 IEEE International Conference on Control Applications}, year={2010}, pages={695-700} }