Distributed extremum-seeking control over networks of unstable dynamic agents

被引：5
|
作者：
Guay, M. [1 ]
Vandermeulen, I. [1 ]
Dougherty, S. [2 ]
McLellan, P. J. [1 ]
机构：
[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
[2] CALM Technol Inc, Kingston, ON, Canada
来源：
IFAC PAPERSONLINE | 2015年 / 48卷 / 08期
关键词：
Extremurn seeking control; consensus estimation; distributed optimization; NONLINEAR-SYSTEMS; OPTIMIZATION; STABILITY;
D O I：
10.1016/j.ifacol.2015.09.049
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 unstable 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. The extremum seeking controller uses the local estimate of the total cost to adjust the value of the local decision variables. The contribution of the proposed technique is the simultaneous stabilization of the network dynamics and the distributed optimization of the total network cost. A dynamic network simulation example is presented to demonstrate the effectiveness of the technique. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Ail rights reserved.
引用
收藏
页码：693 / 697
页数：5
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