Motion planning and stabilization of nonholonomic systems using gradient flow approximations
Optimization and Control
2023-10-31 v1
Abstract
Nonlinear control-affine systems with time-varying vector fields are considered in the paper. We propose a unified control design scheme with oscillating inputs for solving the trajectory tracking and stabilization problems. This methodology is based on the approximation of a gradient like dynamics by trajectories of the designed closed-loop system. As an intermediate outcome, we characterize the asymptotic behavior of solutions of the considered class of nonlinear control systems with oscillating inputs under rather general assumptions on the generating potential function. These results are applied to examples of nonholonomic trajectory tracking and obstacle avoidance.
Cite
@article{arxiv.2301.07205,
title = {Motion planning and stabilization of nonholonomic systems using gradient flow approximations},
author = {Victoria Grushkovskaya and Alexander Zuyev},
journal= {arXiv preprint arXiv:2301.07205},
year = {2023}
}
Comments
submitted