Computational efficiencies for multi-agents: a look at a multi-agent system for sailor assignment

2005 ◽  
Vol 2 (3) ◽  
pp. 384 ◽  
Author(s):  
Jay Liebowitz ◽  
James Simien
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Multi Agents

High gain feedback robust control for flocking of multi-agents system

2019 ◽  
Vol 41 (13) ◽  
pp. 3769-3776
Author(s):  
Qing Zhang ◽  
Jie Wang ◽  
Zhengquan Yang ◽  
Zengqiang Chen
Keyword(s):  
Robust Control ◽  
Lyapunov Stability ◽  
Nonlinear Dynamic System ◽  
High Gain ◽  
Multi Agent System ◽  
Agent System ◽  
Velocity Error ◽  
Multi Agent ◽  
Theory Of Lyapunov Stability ◽  
Multi Agents

This paper focuses on the detailed illustration over the feedback robust control of high gain for flocking of the multi-agent system. As for the second-order unknown bounded nonlinear dynamic system, the designed controller has feedback robust control of high gain. Under the action of the leader, the flocking of the multi-agent system established on the basis of high gain feedback robust control can be realized. By employing the theory of Lyapunov stability, it is observed that the velocity error between agents approaches to zero, and no collision occurs between agents. It is further proved by the simulation that the high gain feedback robust control for flocking of multi-agent system can be obtained accordingly. Compared with Qing et al. (2014), high gain feedback robust control for flocking of multi-agent system has better stability.

Modeling of Multi-Agents' Coordination

2013 ◽  
Vol 437 ◽  
pp. 222-225
Author(s):  
Mei Zhang ◽  
Jing Hua Wen ◽  
Yong Long Fan
Keyword(s):  
Genetic Algorithm ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Virtual Geographic Environment ◽  
Multi Agent ◽  
Geographic Environment ◽  
Behaviour Learning ◽  
Centralized System ◽  
Multi Agents

It takes cooperation among multi-user in virtual geographic environment (VGE) based on Multi-Agent System (MAS) in the centralized system as researched object. Then we detailed analyze and research arithmetic of collectivistic operating behaviour learning of Multi-Agent based on Genetic Algorithm (GA). Finally we design an example which shows how 3 evolutional Agents cooperate to complete the task of colony pushing cylinder box.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent
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