Neurofuzzy Control System
Abstract
The paper generalizes the experience obtained during several years of research, lays down the neuro-fuzzycontroller (NFC) design principles for wide range of dynamic objects. Well-known merits of the fuzzy controller (FC) include semantic clarity of production rules, low external and parametric disturbances sensitivity. In the capacity of the learning algorithm it is expedient to use the powerful genetic algorithm (GA), directed toward global optimum search.
Published
2002-09-06
How to Cite
Burakov, M., & Konovalov, A. (2002). Neurofuzzy Control System. Information and Control Systems, (1), 2-7. Retrieved from http://proceedings.spiiras.nw.ru/index.php/ius/article/view/13908
Issue
Section
Information processing and control