Internal Model-Based Synthesis for Networks of Multiple Multivariable Systems

被引:0
|
作者
Wang, Xinghu [1 ]
Su, Youfeng [2 ]
Xu, Dabo [3 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China
[2] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
来源
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词
Output regulation; multivariable systems; robust control; internal model principle; UNCERTAIN MULTIAGENT SYSTEMS; OUTPUT REGULATION; LINEAR-SYSTEMS; ROBUST; CONSENSUS;
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 authors consider a cooperative output regulation problem (for short, CORP) for linear multi-agent uncertain multivariable systems by distributed output-feedback control. Specifically, based a specific coordinate transformation to establish a multi-input multi-output (MIMO) output-feedback norm form, we are able to develop a novel class of internal model-based protocols for the problem. Compared with existing designs in the recent literature, the proposed result is strictly extended and applicable to multivariable dynamical networks with unknown parameters or undergoing large parametric uncertainties. The result is also illustrated by a benchmark mass-spring system.
引用
收藏
页码:5442 / 5447
页数:6
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