Gradient-based stochastic extremum seeking for static maps with delays

被引：0
|
作者：
Yang, Xiao [1 ]
Yin, Chun [1 ]
Chang, Yuhua [1 ]
Wang, Peng [1 ]
Huang, Xuegang [2 ]
Zhong, Shotuning [3 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] China Aerodynam Res & Dev Ctr, Hyperveloc Aerodynam Inst, Mianyang 621000, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
来源：
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
关键词：
Extremum seeking; Delay systems; Predictor feedback;
D O I：
10.23919/chicc.2019.8865724
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 presents a Gradient-based stochastic extremum seeking method for unknown mappings with known time delays. We design a new predictor for feedback delay compensation. It also has local exponential stability when it converges to an unknown extremum. The stability analysis is carried out by inversion transformation and infinite dimension averaging method, and the infinite dimension state caused by time delay is obtained. In addition, the simulation results show the effectiveness of the proposed scheme.
引用
收藏
页码：674 / 679
页数：6
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