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Cerebellar Learning for Feedback Control by brainx is a document available to read on EtoBox.

This document presents a cerebellar-inspired learning rule called Model-enhanced Least Mean Squares (ME-LMS) for gain adaptation in feedback controllers. It builds on the concept of counter-factual predictive control (CFPC) and derives a learning rule applicable to model-reference adaptive control (MRAC) problems, demonstrating its effectiveness through simulations. The findings suggest that the ME-LMS approach can address a wide range of adaptive control challenges, extending beyond traditional cerebellar

Author
brainx
Language
EN