Published June 2018 | Version public
Book Section - Chapter

Input to State Stabilizing Control Lyapunov Functions for Robust Bipedal Robotic Locomotion

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of Michigan–Ann Arbor

Abstract

This paper analyzes the input to state stability properties of controllers which stabilize hybrid periodic orbits. Systems that are input to state stable tend to be robust to modeling and sensing uncertainties. The main contribution of this paper is in the construction of control Lyapunov functions that do not just stabilize, but also input to state stabilize a given hybrid system. Bipedal robotic walking, which can be naturally modeled as a hybrid system, is analyzed under this class of controllers. Specifically, we will select a class of controllers via rapidly exponentially stabilizing control Lyapunov functions that stabilize bipedal robotic walking; typically modeled as hybrid periodic orbits. We will show with simulation results that given the control Lyapunov functions and the associated set of stabilizing controllers, there exist input to state stabilizing control Lyapunov functions and the associated set of controllers that input to state stabilize the given periodic orbit.

Additional Information

© 2018 AACC. This work is supported by the National Science Foundation through grant NRI-1526519.

Additional details

Identifiers

Eprint ID
92651
DOI
10.23919/ACC.2018.8430946
Resolver ID
CaltechAUTHORS:20190205-081346790

Related works

Funding

NSF
IIS-1526519

Dates

Created
2019-02-05
Created from EPrint's datestamp field
Updated
2021-11-16
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