Optimal control of the skeletal system can identify the underlying mechanisms of normal locomotion, and also has the potential for a-priori evaluation of surgical and rehabilitative procedures to correct movement disorders. Nevertheless, clinical applications are limited, particularly due to time-consuming simulations and the requirements of high-level engineering expertise. This study offers a novel strategy that reduces the computational requirements considerably. A preliminary investigation to assess performance is also illustrated using an elbow joint model.

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