Paper Info
Title
A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance.
Abstract
In this paper, the problem of flocking for Multi-Agent Systems (MAS) in presence of system uncertainties and unknown disturbances is investigated. A biologically-inspired novel distributed resilient controller based on a computational model of emotional learning in the mammalian brain is proposed. The methodology, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), integrates a resilience mechanism with multi-objective properties into the distributed flocking control strategy. The developed strategy adopts the learning capabilities of BELBIC with the flocking that makes it a very promising approach, especially while dealing with system uncertainties and/or unknown disturbances. Furthermore, the low computational complexity of the designed method makes it very suitable for practical implementation in real-time applications. Eventually, the effectiveness of the developed intelligent resilient distributed flocking control approach is demonstrated through the several simulation scenarios.
Year
DOI
Venue
2019
10.1016/j.engappai.2018.12.001
Engineering Applications of Artificial Intelligence
Keywords
Field
DocType
Biologically-inspired methodology,Multi-agent system,Fault tolerant,Flocking
Psychological resilience,BELBIC,Flocking (texture),Control theory,Computer science,Social emotional learning,Multi-agent system,Fault tolerance,Artificial intelligence,Machine learning,Computational complexity theory
Journal
Volume
ISSN
Citations 
79
0952-1976
3
PageRank 
References 
Authors
0.37
15
2
Name
Order
Citations
PageRank
Mohammad Jafari1326.11
Hao Xu2194.19