Adaptive and Distributed Control of Nonlinear and Heterogeneous Multi-agent Systems

被引：0
|
作者：
Bidram, Ali [1 ,2 ]
Lewis, Frank L. [1 ,2 ]
Davoudi, Ali [1 ,2 ]
Ge, S. S. [3 ,4 ]
机构：
[1] Univ Texas Arlington, Arlington Res Inst, Arlington, TX 76019 USA
[2] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
[3] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
[4] Univ Elect Sci & Technol China, Inst Robot, Chengdu 610054, Peoples R China
来源：
2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2013年
关键词：
COMPLEX DYNAMICAL NETWORK; HIGH-ORDER; CONSENSUS ALGORITHMS; COOPERATIVE CONTROL; TRACKING CONTROL; SYNCHRONIZATION; AGENTS; MODEL;
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：
The tracking synchronization problem of multiagent systems with unknown nonlinear and heterogeneous dynamics is studied. A feedback linearization approach is used with neural networks to compensate for the uncertainties caused by the unknown and nonlinear dynamics of agents. Using the Lyapunov theory, an adaptive distributed control scheme is designed, and verified through the secondary voltage control of the practical microgrids.
引用
收藏
页码：6238 / 6243
页数：6
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