Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: Adaptive distributed observer design for containment control of heterogeneous discrete-time swarm systems
Authors: Wang, S
Zhan, Z
Zhong, R 
Wu, Y
Peng, Z
Issue Date: 2020
Source: Chinese journal of aeronautics, 2020, v. 33, no. 11, p. 2898-2906
Abstract: This paper develops both adaptive distributed dynamic state feedback control law and adaptive distributed measurement output feedback control law for heterogeneous discrete-time swarm systems with multiple leaders. The convex hull formed by the leaders and the system matrix of leaders is estimated via an adaptive distributed containment observer. Such estimations will feed the followers so that every follower can update the system matrix of the corresponding adaptive distributed containment observer and the system state of their neighbors. The followers cooperate with each other to achieve leader–follower consensus and thus solve the containment control problem over the network. Numerical results demonstrate the effectiveness and computational feasibility of the proposed control laws.
Keywords: Adaptive distributed containment observer
Containment control
Discrete-time system
Heterogeneous agent
Swarm system
Publisher: Elsevier
Journal: Chinese journal of aeronautics 
EISSN: 1000-9361
DOI: 10.1016/j.cja.2020.03.014
Rights: © 2020 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (
The following publication Shimin, W. A. N. G., Zhi, Z. H. A. N., Zhong, R., Yuanqing, W. U., & Zhouhua, P. E. N. G. (2020). Adaptive distributed observer design for containment control of heterogeneous discrete-time swarm systems. Chinese Journal of Aeronautics, 33(11), 2898-2906, is available at
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
1-s2.0-S1000936120301850-main.pdf1.27 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of May 28, 2023


Citations as of May 28, 2023


Citations as of May 25, 2023


Citations as of Jun 1, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.