Paper Info
Title
Distributed Adaptive Finite-Time Consensus for High-Order Multi-Agent Systems with Intermittent Communications under Switching Topologies
Abstract
In this paper, a distributed adaptive finite-time consensus (FTC) control protocol for a high-order multi-agent system (MAS) with intermittent communications under switching topologies is proposed. Meanwhile, considering the problem of heterogeneous unknown nonlinearities and other uncertain disturbances, the adaptive neural network and the sliding mode control method are used to compensate the nonlinearity of each agent separately. The agents are homogeneous, so the system has symmetry. The switching topologies considered in this paper are asymmetric. Compared with consensus protocol for asymptotic convergence, simulation results show that the proposed method can effectively solve the presence of the nonlinear and accelerate the convergence speed of the system so that an FTC can be reached.
Year
DOI
Venue
2022
10.3390/sym14071368
SYMMETRY-BASEL
Keywords
DocType
Volume
finite-time control, consensus tracking, multi-agent system, adaptive neural network
Journal
14
Issue
ISSN
Citations 
7
2073-8994
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Lingling Fan100.68
Chengyan Wu200.68
Honghai Ji301.01