控制理论(社会学)
巡航控制
控制器(灌溉)
控制工程
状态空间
计算机科学
国家(计算机科学)
控制(管理)
控制系统
卡车
工程类
数学
汽车工程
算法
人工智能
统计
电气工程
农学
生物
作者
Anıl Alan,Andrew J. Taylor,Chaozhe R. He,Gábor Orosz,Aaron D. Ames
出处
期刊:IEEE Control Systems Letters
日期:2022-01-01
卷期号:6: 908-913
被引量:40
标识
DOI:10.1109/lcsys.2021.3087443
摘要
To bring complex systems into real world environments in a safe manner, they will have to be robust to uncertainties-both in the environment and the system. This letter investigates the safety of control systems under input disturbances, wherein the disturbances can capture uncertainties in the system. Safety, framed as forward invariance of sets in the state space, is ensured with the framework of control barrier functions (CBFs). Concretely, the definition of input-to-state safety (ISSf) is generalized to allow the synthesis of non-conservative, tunable controllers that are provably safe under varying disturbances. This is achieved by formulating the concept of tunable input-to-state safe control barrier functions (TISSf-CBFs), which guarantee safety for disturbances that vary with state and, therefore, provide less conservative means of accommodating uncertainty. The theoretical results are demonstrated with a simple control system with input disturbance and also applied to design a safe connected cruise controller for a heavy duty truck.
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