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Published April 2021 | public
Journal Article

Separable Control Lyapunov Functions with Application to Prostheses

Abstract

This letter extends bipedal trajectory tracking methods to prostheses to enable construction of a class of model-dependent prosthesis controllers using locally available sensor information. The rapidly exponentially stabilizing control Lyapunov functions (RES-CLFs) developed for bipedal robots guarantee stability of the hybrid zero dynamics in the presence of impacts that occur in walking. These methods cannot be directly applied to prostheses because of the unknown human dynamics. We overcome this challenge with two RES-CLFs, one for the prosthesis subsystem and another for the remaining human system. Further, we outline a method to construct these RES-CLFs for this type of separable system by first constructing separable CLFs for partially feedback linearizable systems. This letter develops a class of separable subsystem controllers that rely only on local information but provide formal guarantees of stability for the full hybrid system with zero dynamics.

Additional Information

© 2020 IEEE. Manuscript received March 17, 2020; revised June 3, 2020; accepted June 4, 2020. Date of publication June 22, 2020; date of current version July 7, 2020. This work was supported in part by the National Science Foundation Graduate Research Fellowship under Grant DGE-1745301, in part by NSF NRI under Grant 1724464, and in part by the RoAMS Initiative.

Additional details

Created:
August 20, 2023
Modified:
October 20, 2023