有界函数
亲密度
控制理论(社会学)
背景(考古学)
集合(抽象数据类型)
李雅普诺夫函数
计算机科学
国家(计算机科学)
非线性系统
控制(管理)
理论(学习稳定性)
数学
算法
人工智能
数学分析
物理
古生物学
机器学习
程序设计语言
生物
量子力学
作者
Shishir Kolathaya,Aaron D. Ames
标识
DOI:10.1109/lcsys.2018.2853698
摘要
This letter presents a new notion of input-to-state safe control barrier functions (ISSf-CBFs), which ensure safety of nonlinear dynamical systems under input disturbances. Similar to how safety conditions are specified in terms of forward invariance of a set, input-to-state safety conditions are specified in terms of forward invariance of a slightly larger set. In this context, invariance of the larger set implies that the states stay either inside or very close to the smaller safe set; and this closeness is bounded by the magnitude of the disturbances. The main contribution of the letter is the methodology used for obtaining a valid ISSf-CBF, given a control barrier function. The associated universal control law will also be provided. Towards the end, we will study unified quadratic programs that combine control Lyapunov functions and ISSf-CBFs in order to obtain a single control law that ensures both safety and stability in systems with input disturbances.
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