Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC

被引:7
|
作者
Schilliger, Jan [1 ]
Lew, Thomas [2 ]
Richards, Spencer M. [2 ]
Hanggi, Severin [1 ]
Pavone, Marco [2 ]
Onder, Christopher [1 ]
机构
[1] Swiss Fed Inst Technol, Inst Dynam Syst & Control IDSC, CH-8092 Zurich, Switzerland
[2] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA
关键词
Safety; Control systems; Dynamical systems; Cyber-physical systems; Approximation algorithms; Trajectory; Stability analysis; Optimization and optimal control; robot safety; control barrier functions; nonlinear model predictive control; SCHEME;
D O I
10.1109/LRA.2021.3111010
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Tractable safety-ensuring algorithms for cyber-physical systems are important in critical applications. Approaches based on Control Barrier Functions assume continuous enforcement, which is not possible in an online fashion. This letter presents two tractable algorithms to ensure forward invariance of discrete-time controlled cyber-physical systems. Both approaches are based on Control Barrier Functions to provide strict mathematical safety guarantees. The first algorithm exploits Lipschitz continuity and formulates the safety condition as a robust program which is subsequently relaxed to a set of affine conditions. The second algorithm is inspired by tube-NMPC and uses an affine Control Barrier Function formulation in conjunction with an auxiliary controller to guarantee safety of the system. We combine an approximate NMPC controller with the second algorithm to guarantee strict safety despite approximated constraints and show its effectiveness experimentally on a mini-Segway.
引用
收藏
页码:8623 / 8630
页数:8
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