Title
Adaptive finite-time practical consensus protocols for second-order multiagent systems with nonsymmetric input dead zone and uncertain dynamics
Abstract
This paper investigates adaptive finite-time practical consensus protocols for a class of second-order multiagent systems with a positive odd power, nonsymmetric input dead zone and uncertain dynamics under a directed communication topology. In this study, three major steps are employed to address the existence of the positive odd power, nonsymmetric input dead zone and uncertain dynamics. Overall, based on the technique of adding one power integrator, useful preliminary results are obtained by configuring a suitable fraction power. Furthermore, to circumvent input dead-zone nonlinearity, an adaptive fuzzy logic (FL) method is used to estimate the width of the dead zone. Finally, the difficulty in designing finite-time practical consensus protocols for the multiagent systems with uncertain dynamics is handled by using radial basis function neural networks (RBFNNs) to approximate the related unknown nonlinear functions. Then, given some reasonable assumptions, it is shown that finite-time practical consensus of the second-order multiagent systems is obtained by using the proposed distributed control protocols and adaptive laws. In addition, the proper approach for selecting parameters is provided such that the neighborhood position error and parameter estimate errors for each agent converge to predesigned small regions of the origin in a finite time. The effectiveness of the developed algorithm is finally validated through a numerical simulation.
Year
DOI
Venue
2019
10.1016/j.jfranklin.2019.01.020
Journal of the Franklin Institute
Field
DocType
Volume
Dead zone,Mathematical optimization,Nonlinear system,Computer simulation,Control theory,Fuzzy logic,Integrator,Position error,Multi-agent system,Mathematics,Finite time
Journal
356
Issue
ISSN
Citations 
6
0016-0032
0
PageRank 
References 
Authors
0.34
18
4
Name
Order
Citations
PageRank
Jiehan Liu121.72
Chaoli Wang25811.04
Xiaobin Li397.97
Xuan Cai4225.77