Optimal Output Consensus for Nonlinear Multiagent Systems With Both Static and Dynamic Uncertainties

被引：43
|
作者：
Tang, Yutao [1 ]
Wang, Xinghu [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China
[2] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2021年 / 66卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Uncertainty; Multi-agent systems; Cost function; Asymptotic stability; Trajectory; Nonlinear dynamical systems; Adaptive control; distributed optimization; multiagent system; optimal output consensus; uncertainties;
D O I：
10.1109/TAC.2020.2996978
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 article, we investigate an optimal output consensus problem for heterogeneous uncertain nonlinear multiagent systems. The considered agents are described by high-order nonlinear dynamics subject to both static and dynamic uncertainties. A two-step design, comprising sequential constructions of optimal signal generator and distributed partial stabilization feedback controller, is developed to overcome the difficulties brought by nonlinearities, uncertainties, and optimal requirements. This article can not only assure an output consensus, but also achieve an optimal agreement characterized by a distributed optimization problem.
引用
收藏
页码：1733 / 1740
页数：8
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