对控制障碍功能的全面审查:不确定性处理,设计优化和可行性分析
IEEE transactions on cybernetics
|November 25, 2025
概括
控制屏障功能 (CBF) 确保控制相关系统的安全. 本综述详细介绍了处理不确定性的进展,优化结构,并确保机器人和自主系统中实际CBF应用的可行性.
科学领域:
- 控制理论 控制理论
- 机器人技术 机器人技术 机器人技术
- 自主系统 自主系统
背景情况:
- 控制屏障功能 (CBF) 为控制相关系统提供了正式的安全保证.
- 在现实世界中,CBF的部署受到实际挑战的阻碍.
研究的目的:
- 审查控制屏障功能 (CBF) 方法的最新进展.
- 分析CBF的不确定性处理,结构优化和可行性保证方面的进展.
主要方法:
- 不确定性处理策略的分类 (强大,基于学习的).
- 检查结构设计选择 (K类函数,参数调整).
- 分析CBF-二次编程 (CBF-QP) 的不可行性原因和解决方案.
主要成果:
- 为了在CBF设计中稳定和适应性地处理不确定性,存在各种方法.
- 优化的结构参数和K类函数减少了保守主义,提高了可行性.
- 像限制放松和重新设计这样的策略解决了CBF-QP的不可行性.
结论:
- 综合进步揭示了不确定性,结构和可行性之间的相互依赖.
- 未来的研究应该专注于推进基于CBF的复杂系统的安全关键控制.
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