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Updated: Jul 7, 2026

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
An analytical comparison of a neural network and a model-based adaptive controller
1Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN.
IEEE Transactions on Neural Networks
|January 1, 1993
Summary
This study compares neural network and adaptive controllers for inverse dynamics. A novel, stable neural network learning rule ensures faster convergence, outperforming traditional methods in pendulum control.
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