Our paper “Adaptive Athlete Training Plan Generation: An Optimal Control Systems Approach” has been published in the Journal of Science and Medicine in Sport, Volume 25 Issue 4.
We address the problem of automatically adapting athlete training plans using approaches from control systems theory and artificial intelligence, comparing a novel evolutionary computation approach, to proportional adjustment, and a pseudo-random control over simulations that replicate real-World training scenarios.