Fuzzy modeling and control for a nonlinear quadrotor under network environment

Fei Han; Gang Feng; Yong Wang; Fan Zhou

doi:10.1109/CYBER.2014.6917496

Fuzzy modeling and control for a nonlinear quadrotor under network environment

Fei Han, Gang Feng, Yong Wang, Fan Zhou

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

6 Citations (Scopus)

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.

Original language	English
Title of host publication	4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Publisher	IEEE
Pages	395-400
ISBN (Print)	9781479936687
DOIs	https://doi.org/10.1109/CYBER.2014.6917496
Publication status	Published - 7 Oct 2014
Event	4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014 - , Hong Kong, China Duration: 4 Jun 2014 → 7 Jun 2014

Conference

Conference	4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Place	Hong Kong, China
Period	4/06/14 → 7/06/14

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10.1109/CYBER.2014.6917496

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title = "Fuzzy modeling and control for a nonlinear quadrotor under network environment",

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.",

author = "Fei Han and Gang Feng and Yong Wang and Fan Zhou",

year = "2014",

month = oct,

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doi = "10.1109/CYBER.2014.6917496",

language = "English",

isbn = "9781479936687",

pages = "395--400",

booktitle = "4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014",

publisher = "IEEE",

address = "United States",

note = "4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014 ; Conference date: 04-06-2014 Through 07-06-2014",

}

Han, F, Feng, G, Wang, Y & Zhou, F 2014, Fuzzy modeling and control for a nonlinear quadrotor under network environment. in 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014., 6917496, IEEE, pp. 395-400, 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014, Hong Kong, China, 4/06/14. https://doi.org/10.1109/CYBER.2014.6917496

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. IEEE, 2014. p. 395-400 6917496.

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

TY - GEN

T1 - Fuzzy modeling and control for a nonlinear quadrotor under network environment

AU - Han, Fei

AU - Feng, Gang

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AU - Zhou, Fan

PY - 2014/10/7

Y1 - 2014/10/7

N2 - 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.

AB - 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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SN - 9781479936687

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EP - 400

BT - 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014

PB - IEEE

T2 - 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014

Y2 - 4 June 2014 through 7 June 2014

ER -

Fuzzy modeling and control for a nonlinear quadrotor under network environment

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