Robust containment control of heterogeneous non‐linear multi‐agent systems via power series approach-Reference-Cited by-同舟云学术

Robust containment control of heterogeneous non‐linear multi‐agent systems via power series approach

Published:2019-02 Issue:4 Volume:13 Page:496-505
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Li Shaobao¹^ORCID,Zhang Jie²,Er Meng‐Joo³,Luo Xiaoyuan⁴,Yang Zhenyu¹,Wang Ning⁵

Affiliation:

1. Department of Energy TechnologyAalborg UniversityEsbjerg6700Denmark

2. School of Automation and Electrical Engineering, University of Science and Technology BeijingBeijing100083People's Republic of China

3. School of Electrical and Electronic Engineering, Nanyang Technological University639798Singapore

4. School of Electrical Engineering, Yanshan UniversityQinhuangdao066004People's Republic of China

5. School of Marine Electrical Engineering, Dalian Maritime UniversityDalian116026People's Republic of China

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of Jiangsu Province

Natural Science Foundation of Hebei Province

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.2018.5385

Reference33 articles.

1. Distributed finite-time attitude containment control for multiple rigid bodies

2. Two‐layer distributed formation‐containment control of multiple Euler–Lagrange systems by output feedback;Li D.;IEEE Trans. Cybern.,2018

3. Containment control for second‐order multiagent systems communicating over heterogeneous networks;Qin J.;IEEE Trans. Neural Netw. Learn. Syst.,2017

4. Leader-following consensus of multi-agent systems under fixed and switching topologies

5. Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology

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