Naim Ajlouni
Faculty of Computer Science and Information Technology, Applied Science University, Jordan-11931, Amman
Sadeq Al-Hamouz
Faculty of Computer Science and Information Technology, Applied Science University, Jordan-11931, Amman
ABSTRACT
The technique of genetic algorithms is proposed as a means of designing fuzzy gain-scheduled PI control schemes for a class of non-linear plants where the non-linearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective fuzzy gain-scheduled control systems. These results are illustrated by genetically designing a fuzzy gain-scheduled controller for a highly non-linear discrete-time single-input single-output model.
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How to cite this article
Naim Ajlouni and Sadeq Al-Hamouz, 2004. Genetic Design of Fuzzy Mapped PID Controllers for Non-linear Plants. Information Technology Journal, 3: 44-48.
DOI: 10.3923/itj.2004.44.48
URL: https://scialert.net/abstract/?doi=itj.2004.44.48
DOI: 10.3923/itj.2004.44.48
URL: https://scialert.net/abstract/?doi=itj.2004.44.48
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