CONTROL BARRIER FUNCTION DESIGN USING REVIVED TRANSFORMATION

被引:4
|
作者
Takai, Maki [1 ]
Igarashi, Motoi [1 ]
Nakamura, Hisakazu [1 ]
机构
[1] Tokyo Univ Sci, Dept Elect Engn, Noda, Chiba, Japan
来源
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2020年 / 28卷 / 05期
关键词
nonlinear control; state constraint; revived transformation; STABILIZATION; SYSTEMS;
D O I
10.6119/JMST.202010_28(5).0007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The state constraint problem is an essential topic in control theory, wherein control methods using a control barrier function (CBF) and a revived transformation have been recently proposed. However, a way of designing the CBF is yet to be developed in a constrained space. In this study, we propose a CBF design method by using a revived transformation. Our method can design a CBF in a constrained space by utilizing a diffeomorphism from an unconstrained space. We demonstrate the effectiveness of the proposed method by human assist control design and computer simulation.
引用
收藏
页码:376 / 384
页数:9
相关论文
共 50 条
  • [21] Control Lyapunov-Barrier function-based predictive control of nonlinear processes using machine learning modeling
    Wu, Zhe
    Christofides, Panagiotis D.
    COMPUTERS & CHEMICAL ENGINEERING, 2020, 134
  • [22] Control Lyapunov-Barrier Function-Based Predictive Control of Nonlinear Systems Using Machine Learning Models
    Wu, Zhe
    Christofides, Panagiotis D.
    2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 2754 - 2759
  • [23] A novel iterative barrier function design for discrete-time formation tracking control in unknown spatial flowfields
    Liu, Tianrun
    Chen, Yang-Yang
    Zhang, Ya
    Zhang, Faxiang
    NONLINEAR DYNAMICS, 2023, 111 (20) : 19033 - 19045
  • [24] Barrier Lyapunov Function-based Backstepping Controller Design for Path Tracking of Autonomous Vehicles
    Hosseinnajad, Alireza
    Mohajer, Navid
    Nahavandi, Saeid
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2024, 110 (03)
  • [25] Design of a Trajectory Tracking Controller for Marine Vessels with Asymmetric Constraints Using a New Universal Barrier Function
    Zhang, Tan
    Zhang, Gang
    Zhang, Jinzhong
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (09)
  • [26] Safe Control Against Uncertainty: A Comprehensive Review of Control Barrier Function Strategies
    Wang, Shengbo
    Wen, Shiping
    IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE, 2025, 11 (01): : 34 - 47
  • [27] Adaptive Control of a Class of Switched Nonlinear System with Partial State Constraints Using a Barrier Lyapunov Function
    Cui, Enchang
    Jing, Yuanwei
    Gao, Xiaoting
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [28] Safety-Critical Control With Control Barrier Function Based on Disturbance Observer
    Sun, Jiankun
    Yang, Jun
    Zeng, Zhigang
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (07) : 4750 - 4756
  • [29] Control Lyapunov-Barrier function-based predictive control using a deep hybrid model with guarantees on domain of applicability
    Bangi, Mohammed Saad Faizan
    Kwon, Joseph Sang-Il
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 1819 - 1824
  • [30] Robust Nonlinear Control Using Barrier Lyapunov Function Under Lateral Offset Error Constraint for Lateral Control of Autonomous Vehicles
    Hwang, Yunhyoung
    Kang, Chang Mook
    Kim, Wonhee
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (02) : 1565 - 1571