Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems

被引：0
|
作者：
Lei LIU [1 ]
Yan-Jun LIU [1 ]
Aiqing CHEN [1 ]
Shaocheng TONG [1 ]
C.L.Philip CHEN [2 ,3 ]
机构：
[1] College of Science, Liaoning University of Technology
[2] Computer Science and Engineering, South China University of Technology
[3] Navigation College, Dalian Maritime University
来源：
Science China(Information Sciences) | 2020年 / 63卷 / 03期
基金：
中国国家自然科学基金;
关键词：
adaptive control; switched nonlinear systems; integral Barrier Lyapunov functions; backstepping technique; full state constraints;
D O I：
暂无
中图分类号：
TP273.2 [];
学科分类号：
080201 ; 0835 ;
摘要：
This paper presents an adaptive control method for a class of uncertain strict-feedback switched nonlinear systems. First, we consider the constraint characteristics in the switched nonlinear systems to ensure that all states in switched systems do not violate the constraint ranges. Second, we design the controller based on the backstepping technique, while integral Barrier Lyapunov functions(i BLFs) are adopted to solve the full state constraint problems in each step in order to realize the direct constraints on state variables.Furthermore, we introduce the Lyapunov stability theory to demonstrate that the adaptive controller achieves the desired control goals. Finally, we perform a numerical simulation, which further verifies the significance and feasibility of the presented control scheme.
引用
收藏
页码：212 / 225
页数：14
相关论文
共 50 条
  • [41] Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function
    Ren, Beibei
    Ge, Shuzhi Sam
    Tee, Keng Peng
    Lee, Tong Heng
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (08): : 1339 - 1345
  • [42] Barrier function-based adaptive sliding mode control
    Obeid, Hussein
    Fridman, Leonid M.
    Laghrouche, Salah
    Harmouche, Mohamed
    [J]. AUTOMATICA, 2018, 93 : 540 - 544
  • [43] Barrier Lyapunov function-based model-free constraint position control for mechanical systems
    Han, Seong Ik
    Ha, Hyunuk
    Lee, Jangmyung
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2016, 30 (07) : 3331 - 3338
  • [44] Control Lyapunov-Barrier function-based predictive control of nonlinear processes using machine learning modeling
    Wu, Zhe
    Christofides, Panagiotis D.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2020, 134
  • [45] Barrier Lyapunov function-based model-free constraint position control for mechanical systems
    Seong Ik Han
    Hyunuk Ha
    Jangmyung Lee
    [J]. Journal of Mechanical Science and Technology, 2016, 30 : 3331 - 3338
  • [46] Barrier function-based adaptive nonsingular terminal sliding mode control technique for a class of disturbed nonlinear systems
    Mobayen, Saleh
    Bayat, Farhad
    Din, Sami ud
    Vu, Mai The
    [J]. ISA TRANSACTIONS, 2023, 134 : 481 - 496
  • [47] Appointed-Time Integral Barrier Lyapunov Function-Based Trajectory Tracking Control for a Hovercraft with Performance Constraints
    Fu, Mingyu
    Zhang, Tan
    Ding, Fuguang
    Wang, Duansong
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (20): : 1 - 21
  • [48] Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems Using Integral Barrier Lyapunov Functionals
    Yuan, Fengyi
    Liu, Yan-Jun
    Liu, Lei
    Lan, Jie
    Li, Dapeng
    Tong, Shaocheng
    Chen, C. L. Philip
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (08) : 4544 - 4554
  • [49] Lyapunov Function-Based Adaptive Chaos Anti Control of Robot Manipulators
    Moreno-Valenzuela, Javier
    [J]. 2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 1221 - 1226
  • [50] Adaptive control Lyapunov function based model predictive control for continuous nonlinear systems
    Zheng, Yi
    Wang, Yanye
    Li, Shaoyuan
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (02) : 1254 - 1266
12345