Abstract
Introduction: Pacing in competitive sports is an attempt to optimize an individual's energetic resources given the demands of the event and the environment. An athlete may approach an event with a pacing strategy based upon an understanding of the event demands and their own learned experience. Their predefined pacing strategy may be modified during the event based upon the environmental conditions, the athlete's volition and the onset of fatigue. Recent work indicates that the onset of fatigue is driven by a complex integration of the state of the peripheral muscles/peripheral sensory system and the central nervous system. Work rate is adapted in order to optimize performance and prevent potentially harmful changes to homeostasis (Sports Med 2013;43:301–311). The purpose of this study was to examine whether control-theory based computational optimization techniques could be used to optimize the pace of humans over a novel task given physiological and task performance feedback.
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