二部图
计算机科学
有界函数
线性化
趋同(经济学)
多智能体系统
方案(数学)
共识
跟踪(教育)
集合(抽象数据类型)
控制器(灌溉)
非线性系统
航程(航空)
理论计算机科学
数学优化
数学
人工智能
工程类
程序设计语言
心理学
农学
图形
经济
航空航天工程
数学分析
物理
生物
量子力学
经济增长
教育学
作者
Huarong Zhao,Peng Li,Peiliang Wu,Hongnian Yu
标识
DOI:10.1177/09596518211060976
摘要
This article proposes a novel distributed data-driven bipartite consensus tracking scheme for bipartite consensus tracking problems of multi-agent systems with bounded disturbances and coopetition networks. The proposed scheme only uses the input/output data of each agent without requiring the agents’ dynamics. We obtain the equivalent dynamic linearization data model for a controlled plant using the dynamic linearization technique based on the pseudo partial derivative. Considering the cooperative and competitive interactions among agents, the proposed method ensures that agents with adversarial relationships implement bipartite consensus tracking tasks even if only a subset of agents can access the information from the virtual leader. Moreover, the strict proof process of convergence properties reveals that the tracking error coverages to a small range around the origin. We also establish a set of software and hardware platform to demonstrate the effectiveness of the proposed distributed data-driven bipartite consensus tracking method.
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