Command filter based adaptive finite-time dynamic surface control for nonlinear systems with unknown input delay under discontinuous input

被引:5
作者
Xia, Xiaonan [1 ]
Pan, Jianwen [1 ]
Zhang, Tianping [1 ]
Fang, Yu [1 ]
机构
[1] Yangzhou Univ, Coll Informat Engn, Dept Automation, Yangzhou 225127, Peoples R China
基金
中国国家自然科学基金;
关键词
finite-time DSC; discontinuous input with unknown input delay; quantized input; command-filter-based DSC; event-triggered control; UNCERTAIN SYSTEMS; TRACKING CONTROL;
D O I
10.1002/rnc.6603
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the adaptive finite-time quantized and event-triggered dynamic surface control (DSC) schemes are proposed for a class of strict-feedback nonlinear system with time varying input delay. In order to ensure the completeness of the DSC method, an improved dynamic surface control method based on command filtering is adopted. The designed filtering error compensation signal can not only effectively compensate the filtering error, but also deal with the discontinuous input possessing unknown input delay. The problem of finite-time control design and stability analysis with the difficulties brought by discontinuous input with unknown time-varying input delay is solved through the design of the new compensation signal and the corresponding Lyapunov functional. Theoretical analysis shows that all signals in the closed-loop system are bounded in finite time. The simulation examples also verify the effectiveness of the adaptive finite time DSC schemes proposed in this article.
引用
收藏
页码:3889 / 3907
页数:19
相关论文
共 27 条
[1]   Approximation-based Adaptive Tracking of Uncertain Input-quantized Nonlinear Systems in the Presence of Unknown Quantization Parameter and Control Directions [J].
Choi, Yun Ho ;
Yoo, Sung Jin .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) :1414-1424
[2]   Distributed 3-D Time-Varying Formation Control of Underactuated AUVs With Communication Delays Based on Data-Driven State Predictor [J].
Du, Jialu ;
Li, Jian ;
Lewis, Frank L. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (05) :6963-6971
[3]  
Fu Yu-Shun, 2002, Acta Automatica Sinica, V28, P802
[4]   Adaptive quantized control for nonlinear uncertain systems [J].
Hayakawa, Tomohisa ;
Ishii, Hideaki ;
Tsumura, Koji .
SYSTEMS & CONTROL LETTERS, 2009, 58 (09) :625-632
[5]   Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering [J].
Huang, Jiangshuai ;
Wang, Wei ;
Wen, Changyun ;
Li, Guoqi .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (01) :318-324
[6]   Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay [J].
Li, Da-Peng ;
Liu, Yan-Jun ;
Tong, Shaocheng ;
Chen, C. L. Philip ;
Li, Dong-Juan .
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (04) :1249-1258
[7]   Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systems [J].
Li, Yuan-Xin .
AUTOMATICA, 2019, 106 :117-123
[8]   Finite-time adaptive neural control of nonlinear systems with unknown output hysteresis [J].
Li, Zheng ;
Wang, Fang ;
Zhu, Ruitai .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 403
[9]   Command Filter-Based Finite-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems With Prescribed Performance [J].
Sun, Wei ;
Wu, Yu-Qiang ;
Sun, Zong-Yao .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (12) :3161-3170
[10]   Dynamic surface control for a class of nonlinear systems [J].
Swaroop, D ;
Hedrick, JK ;
Yip, PP ;
Gerdes, JC .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (10) :1893-1899