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目的:基于协同动力系统理论(DST)主要用于分析与自我组织系统相关问题的特征,研究提出了训练实践中的DST理论方法,并通过自行车训练实验的相关数据评估该理论与方法的应用;实验方法:根据自行车项目本质特征,选取某省备战12运会自行车队10名运动员接受为期10周的蹬踏运动训练,为了显示在不同测试中运动员竞技能力水平的提高程度,用P30测试训练期间得出的变化与最大功率Pmax渐增负荷测试中的变化进行比较,对系统分析中所用的变量P30(有序参数),TS(控制参数)和EMG MF(子系统参数),以平均值(SD)来呈现;主要结论:宏观层面,竞技能力的演化在确定范围内表现为动态发展稳定结构下的自组织行为,该行为可以被描述为运动状态与状态间的过渡;训练与竞技能力演化之间具有明显的非线性及时滞性特征,在运动员竞技能力演化的初期,竞技能力与训练负荷正相关,但在大负荷时期,竞技能力的演化会因为疲劳的累积而出现时滞。
Aims: Based on the theory of collaborative power system (DST), it is mainly used to analyze the characteristics of the problems related to self-organizing system. The DST theory and method in training practice are proposed and studied. The application of this theory and method is evaluated through the related data of bicycle training experiment. Experimental methods: According to the nature of the bicycle project, select a province for the 12 athletes Cycling Team 10 athletes to accept a 10-week pedaling exercise training, in order to show the athletes in different tests to improve the level of athletic ability, with the P30 test training period The resulting changes were compared with the changes in the maximum power Pmax incremental load test. The variables P30 (order parameters), TS (control parameters) and EMG MF (subsystem parameters) used in the system analysis were compared with the average values SD). Main conclusions: At the macro level, the evolution of athletic ability is manifested as a self-organizing behavior under the dynamic development and stable structure within a certain scope. This behavior can be described as the transition between the state of exercise and the state; and the evolution of training and competitive ability There is a significant nonlinear and time lag characteristics between the athletes in the early stages of the evolution of athletic ability, athletic ability and training load is positive, but During periods of heavy load, the evolution of athleticism can be skewed by the accumulation of fatigue.