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Towards Testable Neuromechanical Control Architectures for Running

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Progress in Motor Control

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 629))

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Notes

  1. 1.

    The LLS and SLIP models would fall into the NCA0 category – except for the technicality that they are not fully asymptotically stable and thus do not satisfy our \(H_1\) Hypothesis.

  2. 2.

    We use the phrase “infinitesimally generated” to represent the fact the trajectories are defined in terms of an ordinary differential equation, which is an equation relating infinitesimal quantities.

  3. 3.

    The term “filter” refers to the feedback laws being specified by a function of the tracking error and its derivatives rather than merely a function of instantaneous tracking error.

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Authors and Affiliations

  1. Integrative Biology Department, University of California, Berkeley, CA, USA

    Shai Revzen

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  1. Shai Revzen
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  2. Daniel E. Koditschek
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  1. Pennsylvania State University, University Park, PA, USA

    Dagmar Sternad (Dr) (Dr)

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Revzen, S., Koditschek, D.E., Full, R.J. (2009). Towards Testable Neuromechanical Control Architectures for Running. In: Sternad, D. (eds) Progress in Motor Control. Advances in Experimental Medicine and Biology, vol 629. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77064-2_3

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