Collective behavior of multi-agent network dynamic systems under internal and external random perturbations

被引：9

作者：

Chandra, J. ^{[2
]}

Ladde, G. S. ^{[1
]}

机构：

[1] Univ S Florida, Dept Math & Stat, Tampa, FL 33620 USA

[2] George Washington Univ, Dept Stat, Washington, DC 20052 USA

来源：

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS | 2010年 / 11卷 / 03期

关键词：

Multi-agent network; Dynamic; Lyapunov Second Method; Cohesiveness; Convergence; Stability; Invariant sets;

D O I：

10.1016/j.nonrwa.2009.02.022

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this work, by formulating stochastic model for multi-agent network dynamic systems, the qualitative and quantitative properties of these dynamic models are investigated. In particular the cohesiveness, convergence, stability and invariant sets are addressed. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1330 / 1344

页数：15

共 9 条

[1] Arnold L., 1971, STOCHASTIC DIFFERENT
[2] Multiple Lyapunov functions and other analysis tools for switched and hybrid systems
Branicky, MS
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (04) : 475 - 482
[3] CHANDRA J, 2006, JOINT MATH M SAN ANT, V27
[4] Chandra J., 2004, INT J HYBRID SYSTEMS, V4, P179
[5] Toward a reliable and resilient mobile wireless architecture
Chandra, Jagdish
Landon, Joshua
[J]. STOCHASTIC ANALYSIS AND APPLICATIONS, 2006, 24 (04) : 827 - 841
[6] Stability analysis of swarms
Gazi, V
Passino, KM
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 48 (04) : 692 - 697
[7] LADDE AG, 2009, INTRO DIFFE IN PRESS, V2
[8] LADDE CS, 2004, STOCHASTIC VERSUS DE
[9] Ladde G.S., 1980, RANDOM DIFFERENTIAL

← 1 →