Multivariable identification of an activated sludge process with subspace based algorithms

The objectives of this project are to identify a linear time-invariant dynamical model of an activated sludge process. Such a system is characterized by stiff dynamics, nonlinearities, time-variant parameters, recycles, multivariable with many cross-couplings and wide variations in the inflow and th...

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Bibliographic Details
Main Author: Mashayekhi, Reza (Author)
Format: Thesis
Published: 2011-05.
Subjects:
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