Further Results on Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots

Abstract In this article, we address the stabilization problem for force-controlled nonholonomic mobile robots under safety-critical constraints. We propose a continuous, time-invariant control law based on the γm-quadratic programming (γm-QP) framework, which unifies control Lyapunov functions (CLFs) and control barrier functions (CBFs) to enforce both stability and safety in the closed-loop system. For the first time, we construct a global, time-invariant, strict Lyapunov function for the closed-loop nonholonomic mobile robot full-dynamic system with a nominal stabilization controller in polar coordinates; this strict Lyapunov function then serves as the CLF in the QP design. Next, by exploiting the inherent cascaded structure of the vehicle dynamics, we develop a CBF for the mobile robot via an integrator backstepping procedure. Our main results guarantee both asymptotic stability and safety for the closed-loop system. Both the simulation and experimental results are presented to illustrate the effectiveness and performance of our approach.

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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2025-11-26
DOI
https://doi.org/10.1115/1.4070495
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
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article

Further Results on Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots

Bo Wang, Guangwei Wang, Tianyu Han
ASME Letters in Dynamic Systems and Control
Control and Dynamics of Mobile Robots
article

Further Results on Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots

Bo Wang, Guangwei Wang, Tianyu Han
article en

Abstract

Abstract In this article, we address the stabilization problem for force-controlled nonholonomic mobile robots under safety-critical constraints. We propose a continuous, time-invariant control law based on the γm-quadratic programming (γm-QP) framework, which unifies control Lyapunov functions (CLFs) and control barrier functions (CBFs) to enforce both stability and safety in the closed-loop system. For the first time, we construct a global, time-invariant, strict Lyapunov function for the closed-loop nonholonomic mobile robot full-dynamic system with a nominal stabilization controller in polar coordinates; this strict Lyapunov function then serves as the CLF in the QP design. Next, by exploiting the inherent cascaded structure of the vehicle dynamics, we develop a CBF for the mobile robot via an integrator backstepping procedure. Our main results guarantee both asymptotic stability and safety for the closed-loop system. Both the simulation and experimental results are presented to illustrate the effectiveness and performance of our approach.

ASME Letters in Dynamic Systems and ControlVol. 6(2)
City College of New York (US), City University of New York (US), Guizhou University (CN), Guiyang University (CN)
Openalex Percentile: Top 55%
Control and Dynamics of Mobile Robots
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