Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139882
Title: Distributed adaptive containment control for a class of nonlinear multiagent systems with input quantization
Authors: Wang, Chenliang
Wen, Changyun
Hu, Qinglei
Wang, Wei
Zhang, Xiuyu
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Wang, C., Wen, C., Hu, Q., Wang, W., & Zhang, X. (2018). Distributed adaptive containment control for a class of nonlinear multiagent systems with input quantization. IEEE Transactions on Neural Networks and Learning Systems, 29(6), 2419-2428. doi:10.1109/TNNLS.2017.2696966
Journal: IEEE Transactions on Neural Networks and Learning Systems
Abstract: This paper is devoted to distributed adaptive containment control for a class of nonlinear multiagent systems with input quantization. By employing a matrix factorization and a novel matrix normalization technique, some assumptions involving control gain matrices in existing results are relaxed. By fusing the techniques of sliding mode control and backstepping control, a two-step design method is proposed to construct controllers and, with the aid of neural networks, all system nonlinearities are allowed to be unknown. Moreover, a linear time-varying model and a similarity transformation are introduced to circumvent the obstacle brought by quantization, and the controllers need no information about the quantizer parameters. The proposed scheme is able to ensure the boundedness of all closed-loop signals and steer the containment errors into an arbitrarily small residual set. The simulation results illustrate the effectiveness of the scheme.
URI: https://hdl.handle.net/10356/139882
ISSN: 2162-237X
DOI: 10.1109/TNNLS.2017.2696966
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

SCOPUSTM   
Citations 10

20
Updated on Mar 10, 2021

PublonsTM
Citations 20

13
Updated on Mar 8, 2021

Page view(s)

128
Updated on May 18, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.