Optimizable Control Barrier Functions to Improve Feasibility and Add Behavior Diversity while Ensuring Safety

Optimizable Control Barrier Functions to Improve Feasibility and Add Behavior Diversity while Ensuring Safety

Ensuring safety while retaining maximum performance is a basic requirement for automatic cyber-physical systems, especially for safety-critical applications. A quadratic programming optimization framework called MPC-CBF has recently been presented, which directly unifies model predictive control (MP...

Full description

Bibliographic Details
Main Authors: Shilei Li, Zhimin Yuan, Yun Chen, Fang Luo, Zhichao Yang, Qing Ye, Wei Fu, Yu Fu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
optimizable control barrier function
feasibility and safety
safety-critical systems
model predictive control
restriction level indicator
Online Access:https://www.mdpi.com/2079-9292/11/22/3657

Internet

https://www.mdpi.com/2079-9292/11/22/3657

Similar Items