An analytical comparison of a neural network and a model-based adaptive controller

R E Nordgren1, P H Meckl

  • 1Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN.

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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