建设性的
机器人学
控制工程
计算机科学
机器人
非线性系统
控制(管理)
控制系统
复杂系统
生命关键系统
人工智能
控制理论(社会学)
工程类
软件
电气工程
物理
过程(计算)
量子力学
程序设计语言
操作系统
作者
M. Cohen,Tamás G. Molnár,Aaron D. Ames
标识
DOI:10.1016/j.arcontrol.2024.100947
摘要
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally characterized by high-dimensional nonlinear dynamics, which presents challenges for model-based safety-critical control design. Motivated by the success of reduced-order models in robotics, this paper presents a tutorial on constructive safety-critical control via reduced-order models and control barrier functions (CBFs). To this end, we provide a unified formulation of techniques in the literature that share a common foundation of constructing CBFs for complex systems from CBFs for much simpler systems. Such ideas are illustrated through formal results, simple numerical examples, and case studies of real-world systems to which these techniques have been experimentally applied.
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