Distributed adaptive fractional‐order fault‐tolerant cooperative control of networked unmanned aerial vehicles via fuzzy neural networks-Reference-Cited by-同舟云学术

Distributed adaptive fractional‐order fault‐tolerant cooperative control of networked unmanned aerial vehicles via fuzzy neural networks

Published:2019-11 Issue:17 Volume:13 Page:2917-2929
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Yu Ziquan¹²^ORCID,Zhang Youmin²^ORCID,Liu Zhixiang²,Qu Yaohong¹,Su Chun‐Yi²^ORCID

Affiliation:

1. School of Automation, Northwestern Polytechnical UniversityXi'an710129People's Republic of China

2. Department of Mechanical, Industrial and Aerospace EngineeringConcordia UniversityMontrealQCH3G 1M8Canada

Funder

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

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.2018.6262

Reference58 articles.

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2. A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

3. Global consensus for discrete-time multi-agent systems with input saturation constraints

4. Information consensus in multivehicle cooperative control

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