Title: Connectivity Preserved Nonlinear Time-Delayed Multiagent Systems using Neural Networks and Event-based Mechanism
Authors: Ma, HW; Wang, D
Author Full Names: Ma, Hongwen; Wang, Ding
Source: NEURAL COMPUTING & APPLICATIONS, 29 (9):361-369; SI 10.1007/s00521-016-2614-z MAY 2018
Abstract: This paper studies how to preserve connectivity for nonlinear time-delayed multiagent systems using event-based mechanism. By using the idea of divide-and-conquer, we divide the distributed controller into five parts to deal with different requirements of the time-delayed multiagent systems, such as eliminating the negative effects of time delays, preserving connectivity, learning the unknown dynamics and achieving consensus. To reduce the communication times among the agents, a centralized event-based protocol is introduced and an event-triggered function is devised to control the frequency of the communication without Zeno behavior. The technique of -functions is used to exclude the singularity of the established distributed controller. In the simulation example, the results demonstrate the validity of our developed methodology.
IDS Number: GB3BU
Unique ID: WOS:000428930900004