Emotional Intelligent Finite-Time Tracking Control for a Class of Nonlinear Systems

被引:1
|
作者
Hou, Shixi [1 ,2 ]
Qiu, Zhenyu [1 ,2 ]
Chu, Yundi [1 ,2 ]
Gao, Jie [1 ,2 ]
Fei, Juntao [1 ,2 ]
机构
[1] Hohai Univ, Coll Artificial Intelligence & Automat, Nanjing 210098, Peoples R China
[2] Hohai Univ, Jiangsu Key Lab Power Transmiss & Distribut Equipm, Nanjing 210098, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 11期
基金
中国国家自然科学基金;
关键词
Biological neural networks; Uncertainty; Sliding mode control; Perturbation methods; Convergence; Robustness; Real-time systems; Brain emotional learning; experimental validation; neural networks; uncertain nonlinear systems; SLIDING-MODE CONTROL; SYNCHRONOUS RELUCTANCE MOTOR; NEURAL-NETWORKS; DESIGN;
D O I
10.1109/JIOT.2024.3373650
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, an emotional intelligent terminal sliding mode controller (EITSMC) is exploited. First, the dynamic model of a second-order nonlinear system considering unknown external disturbances is presented. The fast terminal sliding mode control (FTSMC) scheme is proposed in order to impose superior convergence feature. In addition, from the perspective of further improving the system performance and solving the problem of a prior knowledge dependence in FTSMC design, an emotional intelligent control framework with a self-construction mechanism is proposed to develop a model-free EITSMC. Moreover, an adaptive auxiliary item is developed to further strengthen the system robustness. Finally, the superior control abilities of the proposed strategy are evaluated by simulation and prototype experiments.
引用
收藏
页码:20421 / 20432
页数:12
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