On interconnected multi-agent dynamical systems with non-uniform heterogeneous coupling link weights

2008 ◽  
Author(s):  
D. M. Megherbi ◽  
M. Madera ◽  
L. Dang
Keyword(s):  
Dynamical Systems ◽  
Multi Agent ◽  
Heterogeneous Coupling

scholarly journals Robust Consensus for a Class of Uncertain Multi-Agent Dynamical Systems

2013 ◽  
Vol 9 (1) ◽  
pp. 306-312 ◽  
Author(s):  
Dongkun Han ◽  
Graziano Chesi ◽  
Yeung Sam Hung
Keyword(s):  
Dynamical Systems ◽  
Multi Agent ◽  
Robust Consensus

Flocking of multi-agent dynamical systems with intermittent nonlinear velocity measurements

2011 ◽  
Vol 22 (16) ◽  
pp. 1790-1805 ◽  
Author(s):  
Guanghui Wen ◽  
Zhisheng Duan ◽  
Zhongkui Li ◽  
Guanrong Chen
Keyword(s):  
Dynamical Systems ◽  
Velocity Measurements ◽  
Multi Agent ◽  
Nonlinear Velocity

Delay-Induced Consensus and Quasi-Consensus in Multi-Agent Dynamical Systems

2013 ◽  
Vol 60 (10) ◽  
pp. 2679-2687 ◽  
Author(s):  
Wenwu Yu ◽  
Guanrong Chen ◽  
Ming Cao ◽  
Wei Ren
Keyword(s):  
Dynamical Systems ◽  
Multi Agent

scholarly journals Analyzing control properties of multi-agent linear systems

2020 ◽  
pp. 81-85
Author(s):  
M. Isabel Garcıa-Planas
Keyword(s):  
Dynamical Systems ◽  
Linear Time ◽  
Communication Channels ◽  
Power Grids ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Linear Time Invariant ◽  
Multi Agent ◽  
Controllability And Observability ◽  
Time Invariant

The networked multi-agent systems that they are interconnected via communication channels have great applicability in multiple areas, such as power grids, bioinformatics, sensor networks, vehicles, robotics and neuroscience, for example. Consequently, they have been widely studied by scientists in different fields in particular in the field of control theory. Recently an interest has grown to analyze the control properties as consensus controllability and observability of multi-agent dynamical systems motivated by the fact that the architecture of communication network in engineering multi-agent systems is usually adjustable. In this paper, we analyze how to improve the control properties in the case of multiagent linear time-invariant dynamical systems.

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