Model-Free Adaptive Control of MIMO Nonlinear Systems With Prescribed Tracking Performance

被引:0
|
作者
Ding, Wei [1 ]
Zhang, Jin-Xi [2 ]
机构
[1] Changshu Inst Technol, Fac Elect Engn & Automat, Changshu, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Peoples R China
来源
2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024 | 2024年
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Adaptive control; model-free; multi-input multi-output; nonlinear systems; prescribed performance; FEEDBACK SYSTEMS; NEURAL-CONTROL;
D O I
暂无
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 paper investigates the problem of model-free tracking control of a class of multi-input multi-output nonlinear systems with inputs coupling and external disturbances. A novel directly adaptive prescribed performance controller with the constraint transformation and the Nussbaum gain technique is developed. It guarantees that the system outputs track the reference signals with the prescribed rate, overshoot and accuracy. The controller depends on information of neither the multiplicative and additive system nonlinearities nor the external disturbances. Even so, no neural networks, fuzzy logic systems or disturbance observers are employed, yielding a simple control algorithm. The simulation results verify the effectiveness of the proposed control scheme.
引用
收藏
页码:2132 / 2137
页数:6
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