Obstacle Avoidance via Hybrid Feedback

成果类型:
Article
署名作者:
Berkane, Soulaimane; Bisoffi, Andrea; Dimarogonas, Dimos, V
署名单位:
University of Quebec; University Quebec Outaouais; University of Groningen; University of Groningen; Royal Institute of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2021.3086329
发表日期:
2022
页码:
512-519
关键词:
Asymptotic stability Autonomous Vehicles control design Collision avoidance Motion control nonlinear control systems Lyapunov methods
摘要:
In this article, we present a hybrid feedback approach to solve the navigation problem in the n-dimensional space containing an arbitrary number of ellipsoidal obstacles. The proposed algorithm guarantees both global asymptotic stabilization to a target position and avoidance of the obstacles. The controller, exploiting hysteresis regions, employs a Zeno-free switching between two modes of control: stabilization and avoidance. Simulation results illustrate the performance of the proposed approach for 2-D and 3-D scenarios.