Discrete-Time Control Barrier Function: High-Order Case and Adaptive Case

被引:44
作者
Xiong, Yuhan [1 ]
Zhai, Di-Hua [1 ]
Tavakoli, Mahdi [2 ]
Xia, Yuanqing [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3, Canada
基金
中国国家自然科学基金;
关键词
Optimization; Discrete-time systems; Safety; Adaptive systems; Lyapunov methods; Dynamical systems; Time-varying systems; Control barrier functions (CBFs); discrete-time systems; optimization problem; QUADRATIC PROGRAMS;
D O I
10.1109/TCYB.2022.3170607
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes the novel concepts of the high-order discrete-time control barrier function (CBF) and adaptive discrete-time CBF. The high-order discrete-time CBF is used to guarantee forward invariance of a safe set for discrete-time systems of high relative degree. An optimization problem is then established unifying high-order discrete-time CBFs with discrete-time control Lyapunov functions to yield a safe controller. To improve the feasibility of such optimization problems, the adaptive discrete-time CBF is designed, which can relax constraints on system control input through time-varying penalty functions. The effectiveness of the proposed methods in dealing with high relative degree constraints and improving feasibility is verified on the discrete-time system of a three-link manipulator.
引用
收藏
页码:3231 / 3239
页数:9
相关论文
共 30 条
[1]  
Agrawal A, 2017, ROBOTICS: SCIENCE AND SYSTEMS XIII
[2]  
Ahmadi M, 2019, IEEE DECIS CONTR P, P4797, DOI 10.1109/CDC40024.2019.9030241
[3]  
Ames AD, 2019, 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), P3420, DOI [10.23919/ecc.2019.8796030, 10.23919/ECC.2019.8796030]
[4]   Control Barrier Function Based Quadratic Programs for Safety Critical Systems [J].
Ames, Aaron D. ;
Xu, Xiangru ;
Grizzle, Jessy W. ;
Tabuada, Paulo .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (08) :3861-3876
[5]  
Ames AD, 2014, IEEE DECIS CONTR P, P6271, DOI 10.1109/CDC.2014.7040372
[6]  
Ames AD, 2012, IEEE DECIS CONTR P, P6837, DOI 10.1109/CDC.2012.6426229
[7]  
Chakrabarty S, 2016, IEEE INT WORK VAR, P160, DOI 10.1109/VSS.2016.7506909
[8]  
Cortez WS, 2020, P AMER CONTR CONF, P950, DOI [10.23919/acc45564.2020.9147367, 10.23919/ACC45564.2020.9147367]
[9]   A Control Barrier Function Approach for Maximizing Performance While Fulfilling to ISO/TS 15066 Regulations [J].
Ferraguti, Federica ;
Bertuletti, Mattia ;
Landi, Chiara Talignani ;
Bonfe, Marcello ;
Fantuzzi, Cesare ;
Secchi, Cristian .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (04) :5921-5928
[10]  
Freeman R.A., 1996, ROBUST NONLINEAR CON