Application of Dynamical Systems Theory to Improve Sports Performance

Most coaches agree that competitive competition is the underlying cause of unpredictability and uncertainty of all players. One of the main tasks that all coaches face is how to prepare for the players and reduce the uncertainty that players face with all potential performance results. The question posed by Hanford 2006 (1), "Traditional training methods in team competition are usually prepared for the certainty of player's behavior", ie prepare game uncertainty to the player It is not consistent but consistent. Uncertainty means the unpredictability of the potential consequences of interactions in the game between opponents and teammates.

INTRODUCTION This white paper focuses on the potential and underutilized research methodology to improve IS project management performance through the development and application of new theories. The theoretical development that improves the performance of IS project management is based on the limited superiority theory of IS project management (Shenhar, 1998; Williams, 2005), and in fact the poor performance, slow learning over time This is a big challenge for IS discriminant. (Johnson et al., 2001; Standish Group, 2003, 2004)

Researchers long believed that the theory of dynamic systems applied to motor control is an important structure for performance-oriented sports biomechanics research. They believe that powertrain theory jointly explores and studies alternative research designs and other technologies for motion control theory and biomechanics and ultimately understands the adjustment and control process of the motor system We are predicting to offer a great opportunity to deepen. To guide improvement in athletic performance (Glaziera et al., 2003)

According to Glaziera, Davids, Bartlett, (2003), dynamic theory has become a practical structure for expressing athletic ability in the scientific field. From the point of view of the power system, the human system is a very complex network of interdependent systems (paragraph 1). Movement modes occur through the general process of self-organization that is most likely to be found in physical and biological systems. Throughout the study, theorists have argued that the number of free biomechanical degrees of freedom in the motor system is basically concentrated by adjusting the development of the structure or the temporary accumulation of the muscle complex (Glaziera et al., 2003).