Abstract
Fuzzy neural control refers to the use of fuzzy logic and neural networks to control motors, actuators, and in general, the behavior of processes. The rapidly increasing number of fuzzy logic applications in process control and consumer electronics, as well as theoretical and hardware advances in neuro-control, provide significant incentives for studying fuzzy neural control. Of particular interest to control designers may prove the maturity of novel hardware systems, such as fuzzy logic and neural network boards, customized chips, and even fuzzy computers, where the data will be stored and arithmetically processed as fuzzy numbers.
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© 1994 Springer Science+Business Media Dordrecht
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Tsoukalas, L.H., Ikonomopoulos, A., Uhrig, R.E. (1994). Fuzzy neural control. In: Dagli, C.H. (eds) Artificial Neural Networks for Intelligent Manufacturing. Intelligent Manufacturing Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0713-6_15
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DOI: https://doi.org/10.1007/978-94-011-0713-6_15
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