Distributed extremum-seeking control over networks of dynamic agents

被引：0
|
作者：
Guay, M. [2 ]
Vandermeulen, Isaac [2 ]
Dougherty, S. [1 ]
Mclellan, P. J. [2 ]
机构：
[1] CALM Technol Inc, Kingston, ON, Canada
[2] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
来源：
2015 AMERICAN CONTROL CONFERENCE (ACC) | 2015年
关键词：
PARAMETER-ESTIMATION; NONLINEAR-SYSTEMS; OPTIMIZATION; STABILITY;
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：
In this paper, a distributed extremum seeking control technique is proposed to solve a class of real-time optimization problems over a network of dynamic agents with unknown dynamics. Each dynamic agent measures a cost that is shared over a network. A dynamic average consensus approach is used to provide each agent with an estimate of the total network cost. Each agent contributes to the optimization of the total cost, in a cooperative fashion, under the action of an extremum seeking controller associated with each agent. The extremum seeking control technique is based on a proportional-integral approach that avoids the explicit need for timescale separation. A dynamic network simulation is treated to demonstrate the effectiveness of the technique.
引用
收藏
页码：159 / 164
页数：6
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