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Adaptive Fuzzy Based Solution of Inverted Pendulum & Aircraft Landing Problems

Vijayalakshmi.J, Pavithra.R, Rudresha.M

Real world Problems are complex and uncertain in the form of ambiguities. As complexity increases the precision afford by the classical solution methods were not sufficient. If we have precise and sufficient amount of data for testing and training, then machine learning methods like Artificial Neural Networks provide a powerful and accurate solutions. If we have incomplete data from which we can get only ambiguous and imprecise information, then the top ranging solution is fuzzy logic. The focus of this paper moves towards testing two benchmark systems, the classical inverted pendulum and aircraft landing control system. These two problems are implemented through the fuzzy logic toolbox available in MATLAB7 Student edition and the results are also compared for their performance.

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Академические ключи
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Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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