Measurement + Control (Sep 2001)

Neural Network Applications in Non-Linear Modelling of (Bio)Chemical Processes

  • C. Renotte,
  • A. Vande Wouwer,
  • Ph. Bogaerts,
  • M. Remy

DOI
https://doi.org/10.1177/002029400103400702
Journal volume & issue
Vol. 34

Abstract

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In recent years, neural networks have attracted much attention for their potential to address a number of difficult problems in modelling and controlling nonlinear dynamic systems, especially in (bio) chemical engineering. The objective of this paper is to review some of the most widely used approaches to neural-network-based modelling, including plain black box as well as hybrid neural network — first principles modelling. Two specific application examples are used for illustration purposes: a simple tank level-control system is studied in simulation while a challenging bioprocess application is investigated based on experimental data. These applications allow some original concepts and techniques to be introduced.