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             As shown in Figs. 5 and 7, by adding velocity control to the model, tran-
          sient time of stride duration increased and velocity decreased. Also, the SD
          value for the stride time of c_TLV was much more than that of c_TL. It
          was shown that the more the specific parameter receives control, the more
          SD value the other one gets. These results might be consistent with the con-
          cept of the uncontrolled manifold hypothesis (Scholz and Sch€oner, 1999;
          Monaco et al., 2018). More research is suggested to investigate this hypothesis.



          5 Conclusion

          This chapter presented a simple bio-mechanic model for human walking on
          the treadmill. This study showed that in addition to velocity and position
          control, control of stride length and time is also necessary to keep walking
          at its optimal mode. Moreover, it was also shown that this framework of
          modeling has the capability to explain differences between α (DFA) in time
          series of stride velocity of walking overground and on a treadmill. Further
          research is required to explore the relationship between α (DFA) of stride
          length, time, velocity, and position as well as propose controllers in different
          motor and mental tasks.



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