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DETERMINATION OF CAPACITY AND RULES OF THE VARIABILITY OF MAXIMUM FORCE USING NONLINEAR MATHEMATICAL MODELS: A CASE STUDY

100%

Milosevic M. B., Nemec V. J., Jourkesh M., Nemec P. M., Milosevic M. M., David B. G.

Central European Journal of Sport Sciences and Medicine

2016

vol. 16

issue 4

91-101

The aim of this study is to determine the capacity and the variability of maximum force rules measured 1 RM for eight muscle groups (back-hip extensors, legs extensors, arm extensors, back extensors, shoulder and arms extensors, shoulder joint flexors, hip and knee extensors, trunk flexors). The determination was performed on the experimental results of the top basketball center player using repeated measurements and nonlinear mathematical models methods. Changes in maximum force were induced with 8 months of weight lifting training and analised with nonlinear regression analysis within 95% confidence interval. The results indicate that from all the models applied only the Asymptotic Regression, Michaelis-Menten and Gompertz Growth models had satisfactory performance and provided solid solutions to the given problem. This means that the models developed in this study properly and reliably determine the capacity and predicted changes in the maximum force (1 RM) for all eight monitored muscle groups.

Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors

86%

Nebeluk R., Marusak P., Nebeluk R., Marusak P.

Archives of Control Sciences

2020

vol. 30

issue 2

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1 Central European Journal of Sport Sciences and Medicine

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1 David B. G.

1 Jourkesh M.

1 Marusak P.

1 Milosevic M. B.

1 Milosevic M. M.

1 Nebeluk R.

1 Nemec P. M.

1 Nemec V. J.

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DETERMINATION OF CAPACITY AND RULES OF THE VARIABILITY OF MAXIMUM FORCE USING NONLINEAR MATHEMATICAL MODELS: A CASE STUDY

Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors