Fuzzy modeling and control for a nonlinear quadrotor under network environment

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages395-400
ISBN (print)9781479936687
Publication statusPublished - 7 Oct 2014

Conference

Title4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PlaceHong Kong
Period4 - 7 June 2014

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84910650776&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(af7247ba-3d0e-46ac-bcc6-f5296cd2c50e).html

Abstract

This paper considers the fuzzy modeling and H∞ state feedback control for network-based quadrotor under unreliable communication links, and there are delays and packet dropouts throughout the transmission. The nonlinear quadrotor in this paper is firstly approximated by a Takagi-Sugeno (T-S) fuzzy model. The network-induced delays and packet dropouts in both sensor-to-controller (S/C) and controller-to-actuator (C/A) channels are modeled in a unified framework. Then a fuzzy controller is designed so that the resulting closed-loop quadrotor system is asymptotically stable with guaranteed H∞ performance. Finally, a simulation is given to illustrated the procedure of the proposed approach.

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Publication fingerprints text

100
Fuzzy Modeling Keyphrases
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Fuzzy Control Keyphrases
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Network Environment Keyphrases
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Quadrotor Keyphrases
100
Mathematical Model Engineering
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Quadcopter Engineering
100
Packet Dropouts Computer Science
100
environment INIS
100
control INIS
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fuzzy logic INIS
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Citation Format(s)

[ RIS ] [ BibTeX ]
Fuzzy modeling and control for a nonlinear quadrotor under network environment. / Han, Fei; Feng, Gang; Wang, Yong et al.
4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014. Institute of Electrical and Electronics Engineers, Inc., 2014. p. 395-400 6917496.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review