李普希茨连续性
反推
指数稳定性
控制理论(社会学)
数学
微分包含
理论(学习稳定性)
动力系统理论
李雅普诺夫函数
状态空间
国家(计算机科学)
稳定性理论
应用数学
数学优化
控制(管理)
计算机科学
自适应控制
数学分析
非线性系统
算法
统计
物理
量子力学
人工智能
机器学习
作者
Mathias Marley,Roger Skjetne,Andrew R. Teel
标识
DOI:10.1109/tac.2023.3332018
摘要
Control barrier functions (CBFs) ensure safety of controlled dynamical systems by enforcing forward invariance of safe subsets of the state space. First-order CBFs are applicable for systems where the control input appears in the first time derivative of the controlled output. High-order CBFs (HOCBFs) extend the notion of CBFs to systems of any order, following a procedure reminiscent of the recursive design of a control Lyapunov function in backstepping. Asymptotic stability of compact safe sets for Lipschitz continuous HOCBF-based controllers has recently been reported in literature. In this paper, we extend this result by establishing sufficient conditions for uniform asymptotic stability of closed, but not necessarily compact, safe sets. Moreover, we show that uniform asymptotic stability holds for differential inclusions that correspond to allowing the control input to take on arbitrary values that satisfy the HOCBF-induced input constraints. This result circumvents the need to establish continuity properties of optimization-based safeguarding control laws. Sufficient conditions for input-to-state stability are also established, by constructing a vector comparison system from the worst-case evolution of the HOCBF along the disturbed versions of the aforementioned differential inclusions. The theoretical results are illustrated by two case studies.
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