Consensus for non‐linear multi‐agent systems modelled by PDEs based on spatial boundary communication-Reference-Cited by-同舟云学术

Consensus for non‐linear multi‐agent systems modelled by PDEs based on spatial boundary communication

Published:2017-09-27 Issue:17 Volume:11 Page:3196-3200
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Yang Chengdong¹²³⁴⁵,He Haibo⁶,Huang Tingwen⁵,Zhang Ancai³⁴⁷,Qiu Jianlong³⁴⁷,Cao Jinde⁸⁹,Li Xiaodi⁹

Affiliation:

1. School of Automation, Southeast UniversityNanjing210096People's Republic of China

2. School of Information Science and Technology, Linyi UniversityLinyi276005People's Republic of China

3. School of Engineering, Qufu Normal UniversityRizhao276826People's Republic of China

4. Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong (Linyi University)Linyi276005People's Republic of China

5. Science Program, Texas A & M University at QatarDoha5825Qatar

6. Department of Electrical, Computer and Biomedical EngineeringUniversity of Rhode IslandKingstonRI02881USA

7. School of Automation and Electrical Engineering, Linyi UniversityLinyi276005People's Republic of China

8. School of Mathematics, Southeast UniversityNanjing210096People's Republic of China

9. School of Mathematics and Statistics, Shandong Normal UniversityJi'nan250014People's Republic of China

Funder

National Natural Science Foundation of China

Qatar National Research Fund

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2017.0479

Reference38 articles.

1. Distributed consensus tracking for non‐linear multi‐agent systems with input saturation: a command filtered backstepping approach

2. Distributed composite output consensus protocols of higher‐order multi‐agent systems subject to mismatched disturbances

3. Leader-following formation control for second-order multiagent systems with time-varying delay and nonlinear dynamics

4. A consensus recovery approach to nonlinear multi-agent system under node failure

5. Leader‐following consensus of non‐linear multi‐agent systems with jointly connected topology

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