Abstract
An analog Adaptive fuzzy logic controller is proposed. This controller is based on back-propagation algorithm, and designed for the use of on chip learning. This adaptive fuzzy logic controller was composed of an analog fuzzy logic controller and a learning circuit that realizes online learning mechanism. It can tune the consequent parameters automatically with the help of a direction signal. Hspice simulation of functional approximation experiment was held, showing that this controller has the on-chip learning capability.
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© 2005 Springer-Verlag Berlin Heidelberg
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Xu, Z., Jin, D., Li, Z. (2005). Design of an Analog Adaptive Fuzzy Logic Controller. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_128
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DOI: https://doi.org/10.1007/11539506_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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