Multi-Agent Optimal Consensus With Unknown Control Directions

被引：10
作者：
Tang, Yutao [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China
来源：
IEEE CONTROL SYSTEMS LETTERS | 2021年 / 5卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Multi-agent systems; Cost function; Trajectory; Signal generators; Power system dynamics; Optimal consensus; high-order dynamics; unknown control direction; adaptive control; ADAPTIVE CONSENSUS; DISTRIBUTED OPTIMIZATION; OUTPUT REGULATION; SYSTEMS; COORDINATION; DESIGN; STATE;
D O I：
10.1109/LCSYS.2020.3021635
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 letter studies the optimal consensus problem for a group of heterogeneous high-order agents with unknown control directions. Compared with existing consensus results, reaching an optimal consensus further requires the consensus point to be a solution to some distributed optimization problem. First, we construct an optimal signal generator to reproduce the global optimal point. Then, we convert the optimal consensus problem into a robust stabilization problem for some translated multi-agent system. Finally, we present two distributed adaptive controllers depending upon different available information. Numerical examples are given to verify the efficacy of our designs.
引用
收藏
页码：1201 / 1206
页数：6
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