A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance. (March 2019)

• Record Type: Journal Article
• Authors: Jafari, Mohammad; Xu, Hao
• Is Part Of: Engineering applications of artificial intelligence. Volume 79(2019)
• Page Start: 1
• Page End: 12
• Publication Date: 2019-03
• Subjects: Biologically-inspired methodology -- Multi-agent system -- Fault tolerant -- Flocking; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2018.12.001
• Languages: English
• ISSNs: 0952-1976

Abstract

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.