Adaptive non-fragile finite-time tracking control of a class of uncertain systems

Xiaozheng Jin; Shaofan Wang; Yu Kang; Wei Xing Zheng; Jiahu Qin

doi:10.1109/IECON.2017.8217260

Adaptive non-fragile finite-time tracking control of a class of uncertain systems

Xiaozheng Jin, Shaofan Wang, Yu Kang, Wei Xing Zheng, Jiahu Qin

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

![CDATA[In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient variations is deeply investigated. On the basis of Lyapunov stability theory, it shows that the bounded tracking of resulting adaptive system can be reached within a finite time, and the tracking errors of the system can be reduced as small as desired by adjusting controller parameters. The effectiveness of the proposed design is illustrated via a decoupled longitudinal model of F-18 aircraft.]]

Original language	English
Title of host publication	Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October - 1 November 2017
Publisher	IEEE
Pages	7199-7204
Number of pages	6
ISBN (Print)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8217260
Publication status	Published - 2017
Event	IEEE Industrial Electronics Society. Conference - Duration: 29 Oct 2017 → …

Publication series

Name
ISSN (Print)	1553-572X

Conference

Conference	IEEE Industrial Electronics Society. Conference
Period	29/10/17 → …

Keywords

Lyapunov stability
adaptive control systems

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10.1109/IECON.2017.8217260

Cite this

@inproceedings{2a0f778f997a4eb5a9d4d34bd55867a0,

title = "Adaptive non-fragile finite-time tracking control of a class of uncertain systems",

abstract = "![CDATA[In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient variations is deeply investigated. On the basis of Lyapunov stability theory, it shows that the bounded tracking of resulting adaptive system can be reached within a finite time, and the tracking errors of the system can be reduced as small as desired by adjusting controller parameters. The effectiveness of the proposed design is illustrated via a decoupled longitudinal model of F-18 aircraft.]]",

keywords = "Lyapunov stability, adaptive control systems",

author = "Xiaozheng Jin and Shaofan Wang and Yu Kang and Zheng, {Wei Xing} and Jiahu Qin",

year = "2017",

doi = "10.1109/IECON.2017.8217260",

language = "English",

isbn = "9781538611272",

publisher = "IEEE",

pages = "7199--7204",

booktitle = "Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October - 1 November 2017",

note = "IEEE Industrial Electronics Society. Conference ; Conference date: 29-10-2017",

}

Jin, X, Wang, S, Kang, Y, Zheng, WX & Qin, J 2017, Adaptive non-fragile finite-time tracking control of a class of uncertain systems. in Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October - 1 November 2017. IEEE, pp. 7199-7204, IEEE Industrial Electronics Society. Conference, 29/10/17. https://doi.org/10.1109/IECON.2017.8217260

Adaptive non-fragile finite-time tracking control of a class of uncertain systems. / Jin, Xiaozheng; Wang, Shaofan; Kang, Yu et al.
Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October - 1 November 2017. IEEE, 2017. p. 7199-7204.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Adaptive non-fragile finite-time tracking control of a class of uncertain systems

AU - Jin, Xiaozheng

AU - Wang, Shaofan

AU - Kang, Yu

AU - Zheng, Wei Xing

AU - Qin, Jiahu

PY - 2017

Y1 - 2017

N2 - ![CDATA[In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient variations is deeply investigated. On the basis of Lyapunov stability theory, it shows that the bounded tracking of resulting adaptive system can be reached within a finite time, and the tracking errors of the system can be reduced as small as desired by adjusting controller parameters. The effectiveness of the proposed design is illustrated via a decoupled longitudinal model of F-18 aircraft.]]

AB - ![CDATA[In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient variations is deeply investigated. On the basis of Lyapunov stability theory, it shows that the bounded tracking of resulting adaptive system can be reached within a finite time, and the tracking errors of the system can be reduced as small as desired by adjusting controller parameters. The effectiveness of the proposed design is illustrated via a decoupled longitudinal model of F-18 aircraft.]]

KW - Lyapunov stability

KW - adaptive control systems

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:46861

U2 - 10.1109/IECON.2017.8217260

DO - 10.1109/IECON.2017.8217260

M3 - Conference Paper

SN - 9781538611272

SP - 7199

EP - 7204

BT - Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October - 1 November 2017

PB - IEEE

T2 - IEEE Industrial Electronics Society. Conference

Y2 - 29 October 2017

ER -

Adaptive non-fragile finite-time tracking control of a class of uncertain systems

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