A Dynamical Modeling Study on Decision-Making Mechanisms and Motor Coordination Optimization in Elite Table Tennis Players
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Abstract
The striking performance of elite table tennis players depends on real-time feedback regulation between decision generation and motor execution, rather than a unidirectional information transmission process. Centering on this feedback characteristic, a coupled dynamical model incorporating decision time delay and motor error feedback was constructed, integrating visual information input, decision variable evolution, and joint motor output into a unified time-delayed feedback loop to characterize the corrective effect of motor execution results on subsequent decision-making. By establishing a delay differential equation and introducing an error feedback gain parameter, the stability boundaries of the decision–motor system and the variation patterns of coordination accuracy under different incoming ball speeds were quantified, and a motor coordination optimization pathway based on feedback gain regulation was proposed. The results indicate that feedback delay and gain parameters jointly determine the stability domain of the system response, providing a quantifiable regulatory basis for improving coordination ability in technical training.
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