Reactive multi-agent approach to local platoon control: stability analysis and experimentations

2011 ◽  
Vol 10 (3) ◽  
pp. 231 ◽  
Author(s):  
Jean Michel Contet ◽  
Franck Gechter ◽  
Pablo Gruer ◽  
Abderrafiaa Koukam
Keyword(s):  
Stability Analysis ◽  
Multi Agent ◽  
Control Stability

Swarm Coordination Under Conflict and Use of Enhanced Lyapunov Based Controller

2009 ◽  
Author(s):  
Daniel A. Sierra ◽  
Paul McCullough ◽  
Nejat Olgac ◽  
Eldridge Adams
Keyword(s):  
Stability Analysis ◽  
Distributed Control ◽  
Complex Nature ◽  
Control Logic ◽  
Group Pursuit ◽  
Dissipative Control ◽  
Multi Agent ◽  
Two Phases ◽  
The Stability ◽  
Approach Phase

We consider hostile conflicts between two multi-agent swarms. First, we investigate the complex nature of a single pursuer attempting to intercept a single evader (1P-1E), and establish some rudimentary rules of engagement. We elaborate on the stability repercussions of these rules. Second, we extend the modelling and stability analysis between multi-agent swarms of pursuers and evaders. The present document considers only swarms with equal membership strengths for simplicity. This effort is based on a set of suggested momenta deployed on individual agents. Due to the strong nonlinearities, Lyapunov-based stability analysis is used. The control of a group pursuit is divided into two phases: the approach phase during which the two swarms act like individuals in the 1P-1E interaction; and the assigned pursuit phase where each pursuer is assigned to an evader. A dissipative control momentum was suggested in an earlier publication, which caused undesirable control chatter. This study introduces a distributed control logic which ameliorates the chatter problems considerably.

Stability analysis of fractional delayed equations and its applications on consensus of multi-agent systems

2019 ◽  
Vol 73 ◽  
pp. 351-362 ◽  
Author(s):  
Song Liu ◽  
Ran Yang ◽  
Xian-Feng Zhou ◽  
Wei Jiang ◽  
Xiaoyan Li ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent
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