Leader-following consensus for fractional multi-agent systems

被引：10
|
作者：
Almeida, Ricardo [1 ]
Girejko, Ewa [2 ]
Hristova, Snezhana [3 ]
Malinowska, Agnieszka B. [2 ]
机构：
[1] Univ Aveiro, Ctr Res & Dev Math Ad Applicat, Dept Math, Aveiro, Portugal
[2] Bialystok Tech Univ, Fac Comp Sci, Bialystok, Poland
[3] Univ Plovdiv Paisii Hilendarski, Fac Math & Comp Sci, Plovdiv, Bulgaria
来源：
ADVANCES IN DIFFERENCE EQUATIONS | 2019年 / 2019卷 / 1期
关键词：
Multi-agent networks; Nonlinear fractional neural systems; Lyapunov function; Stability; NEURAL-NETWORKS; TIME; STABILITY; MODELS; AGENTS; DELAY;
D O I：
10.1186/s13662-019-2235-9
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A leader-following consensus for Caputo fractional multi-agent systems with nonlinear intrinsic dynamics is investigated. The second Lyapunov method is used to design a control protocol ensuring a consensus for two types of multi-agent systems. Contrary to the previous studies on leader-following consensus, the investigation covers systems with bounded and unbounded time-dependent Lipschitz coefficients in the intrinsic dynamics. Moreover, coupling strength describing the interactions between agents is considered to be a function of time.
引用
收藏
页数：15
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