Reference
A. Moradvandi, E. Abraham, A. Goudjil, B. De Schutter, and
R. E. F. Lindeboom, "An identification
algorithm of switched Box-Jenkins systems in the presence of bounded
disturbances: An approach for approximating complex biological wastewater
treatment models,"
Journal of Water Process
Engineering, vol. 60, p. 105202, Apr. 2024.
Abstract
This paper focuses on the development of linear Switched Box–Jenkins (SBJ)
models for approximating complex dynamical models of biological wastewater
treatment processes. We discuss the adaptation of these processes to the SBJ
framework, showing the model’s generality and flexibility as a class of
switched systems that can offer accurate predictions for complex and nonlinear
dynamics. This approach of modeling enables real-time data reconciliation from
experiments and allows the design of model-based control strategies previously
inaccessible with conventional complex wastewater treatment models. Through the
extension of the Outer Bounding Ellipsoids (OBEs) algorithm, the paper
introduces an online two-stage parameter identification algorithm that
effectively handles bounded disturbances for SBJ models. Using the OBE method
relaxes the stochastic assumptions on disturbances, which may not be satisfied
in practice, particularly for biological and environmental fluctuations. The
proposed decomposed OBE algorithm separately identifies the switching patterns
and parameters of linear submodels, conducting parameter identification in two
distinct phases for input/output and disturbance/output submodels. The efficacy
of this approach is shown via simulation results validated against both ADM1
and PBM, demonstrating the proposed algorithm’s capability to accurately
predict outputs from different bio-process models.
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BibTeX
@article{MorAbr:24-008,
author = {Moradvandi, Ali and Abraham, Edo and Goudjil, Abdelhak and De
Schutter, Bart and Lindeboom, Ralph E. F.},
title = {An Identification Algorithm of Switched {B}ox-{J}enkins Systems
in the Presence of Bounded Disturbances: {A}n Approach for
Approximating Complex Biological Wastewater Treatment Models},
journal = {Journal of Water Process Engineering},
volume = {60},
pages = {105202},
month = apr,
year = {2024}
}