- author = "Marcin Witczak and Jozef Korbicz",
- title = "Genetic programming based observers for nonlinear systems",
- booktitle = "4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes : Safeprocess 2000",
- year = "2000",
- volume = "2",
- pages = "967--972",
- address = "Budapest, Hungary",
- month = jun # " 14-16",
- keywords = "genetic algorithms, genetic programming, fault detection, nonlinear systems, model approximation, observers",
- ISSN = "1474-6670",
-
URL = "
http://www.sciencedirect.com/science/article/pii/S1474667017374839",
-
DOI = "
doi:10.1016/S1474-6670(17)37483-9",
- size = "6 pages",
- abstract = "Model-based approaches to fault detection and isolation suffer from the inconvenience that in practice it is often difficult to obtain an accurate mathematical model of a nonlinear system of interest. A way out of this problem is to use data-driven approaches to model the process input-output behaviour. In this work, a relatively new genetic programming technique is employed to design a nonlinear observer which models the juice temperature at the outlet of an evaporator at the Lublin Sugar Factory in Poland. The resulting observer is then used to generate a residual for fault detection.",
-
notes = "Sep 2018 Elsevier doi: gives page numbers as
945--950
Also known as \cite{WITCZAK2000945}",
