Full-state constraints stabilization control for uncertain nonlinear systems

被引：0

作者：

Jia, Fu-Jin ^{[1
,2
]}

Zhang, Tian-Liang ^{[2
]}

Lu, Jun-Wei ^{[3
]}

机构：

[1] School of Electrical Engineering and Automation, Anhui University, Anhui, Hefei,230039, China

[2] School of Automation, Nanjing University of Science and Technology, Jiangsu, Nanjing,210094, China

[3] School of Electrical and Automation Engineering, Nanjing Normal University, Jiangsu, Nanjing,210023, China

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2024年 / 41卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Approximation methods - Barrier lyapunov function - Constraint stabilization - Full-state constraint - Fuzzy approximation - Lyapunov's functions - Neural-network approximations - Stabilization control - State constraints - Uncertain nonlinear systems;

D O I：

10.7641/CTA.2023.20731

中图分类号：

学科分类号：

摘要：

In this paper, the full-state constraints stabilization control for a class of nonlinear systems with unknown functions is studied. Different from the fuzzy approximation method and the neural network approximation method for solving the unknown function problem, the control method in this paper can make the system state asymptotically converge to the origin, and solve the explosion of terms problem of the backstepping method. At the same time, different from the barrier Lyapunov functions for solving the full-state constraints control problem, a new full-state constraints method is proposed to make the state asymptotically stable. Finally, the simulation results of Duffing system and single-link robot verify the effectiveness of this algorithm. © 2024 South China University of Technology. All rights reserved.

引用

下载

页码：2393 / 2400

共 50 条

[11] Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems With Full-State Constraints and Input Saturations
Wu, Li-Bing
Park, Ju H.
Xie, Xiang-Peng
Zhao, Nan-Nan
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (12) : 6054 - 6065
[12] Projectional Observers of Nonlinear Systems With Full-State Constraints
Garcia-Gonzalez, Alejandro
Poznyak, Alexander
Chairez, Isaac
Poznyak, Tatyana
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (12) : 3078 - 3082
[13] Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems with Full-State Constraints
Xu, Yefeng
Zhang, Yihao
Chen, Sijia
Zhang, Kanjian
Xie, Liping
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (06) : 1840 - 1851
[14] Adaptive output feedback control for a class of nonlinear systems with full-state constraints
Liu, Yan-Jun
Li, Dong-Juan
Tong, Shaocheng
INTERNATIONAL JOURNAL OF CONTROL, 2014, 87 (02) : 281 - 290
[15] Neuroadaptive deferred full-state constraints control without feasibility conditions for uncertain nonlinear EASSs
Shao, Xinfeng
Ye, Dan
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (07): : 2810 - 2832
[16] Fixed-time event-triggered fuzzy adaptive control for uncertain nonlinear systems with full-state constraints
Wang, Chen
Wang, Jianhui
Du, Yongping
Zhang, Chunliang
Liu, Zhi
Chen, C. L. Philip
INFORMATION SCIENCES, 2023, 633 : 158 - 169
[17] TABLF-based adaptive control for uncertain nonlinear systems with time-varying asymmetric full-state constraints
Wang, Chunxiao
Wu, Yuqiang
Wang, Fenghe
Zhao, Yan
INTERNATIONAL JOURNAL OF CONTROL, 2021, 94 (05) : 1238 - 1246
[18] Adaptive Fuzzy Control for Uncertain Strict-Feedback Nonlinear Systems With Full-State Constraints Using Disturbance Observer
Zhang, Jie
Jiang, Wanyue
Ge, Shuzhi Sam
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (10): : 6145 - 6156
[19] Observer-Based Fuzzy Adaptive Predefined Time Control for Uncertain Nonlinear Systems With Full-State Error Constraints
Xu, Hao
Yu, Dengxiu
Liu, Yan-Jun
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (03) : 1370 - 1382
[20] Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, Wei
Chen, Yuhao
Yin, Zhao
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (03) : 620 - 629

← 1 2 3 4 5 →