Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

Honghong Wang; Bing Chen; Chong Lin; Yumei Sun; Junhang Ding

doi:10.1109/CCDC.2019.8833327

Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

Honghong Wang
, Bing Chen
, Chong Lin
, Yumei Sun
, Junhang Ding

Qingdao University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.

Original language	English
Title of host publication	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1551-1557
Number of pages	7
ISBN (Electronic)	9781728101057
DOIs	https://doi.org/10.1109/CCDC.2019.8833327
State	Published - Jun 2019
Externally published	Yes
Event	31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China Duration: 3 Jun 2019 → 5 Jun 2019

Publication series

Name	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference	31st Chinese Control and Decision Conference, CCDC 2019
Country/Territory	China
City	Nanchang
Period	3/06/19 → 5/06/19

Keywords

Large-scale nonlinear systems
decentralized adaptive control
fuzzy logical systems
input saturation
observer

Access to Document

10.1109/CCDC.2019.8833327

Cite this

Wang, H., Chen, B., Lin, C., Sun, Y., & Ding, J. (2019). Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019 (pp. 1551-1557). Article 8833327 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2019.8833327

Wang, Honghong ; Chen, Bing ; Lin, Chong et al. / Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback. Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1551-1557 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

@inproceedings{85c355a26a374db9a11ac116b25b2ace,

title = "Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback",

abstract = "The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.",

keywords = "Large-scale nonlinear systems, decentralized adaptive control, fuzzy logical systems, input saturation, observer",

author = "Honghong Wang and Bing Chen and Chong Lin and Yumei Sun and Junhang Ding",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",

year = "2019",

month = jun,

doi = "10.1109/CCDC.2019.8833327",

language = "英语",

series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1551--1557",

booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",

}

Wang, H, Chen, B, Lin, C, Sun, Y & Ding, J 2019, Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback. in Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019., 8833327, Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1551-1557, 31st Chinese Control and Decision Conference, CCDC 2019, Nanchang, China, 3/06/19. https://doi.org/10.1109/CCDC.2019.8833327

Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback. / Wang, Honghong; Chen, Bing; Lin, Chong et al.
Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1551-1557 8833327 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

AU - Wang, Honghong

AU - Chen, Bing

AU - Lin, Chong

AU - Sun, Yumei

AU - Ding, Junhang

PY - 2019/6

Y1 - 2019/6

N2 - The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.

AB - The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.

KW - Large-scale nonlinear systems

KW - decentralized adaptive control

KW - fuzzy logical systems

KW - input saturation

KW - observer

UR - https://www.scopus.com/pages/publications/85073109960

U2 - 10.1109/CCDC.2019.8833327

DO - 10.1109/CCDC.2019.8833327

M3 - 会议稿件

AN - SCOPUS:85073109960

T3 - Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

SP - 1551

EP - 1557

BT - Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st Chinese Control and Decision Conference, CCDC 2019

Y2 - 3 June 2019 through 5 June 2019

ER -

Wang H, Chen B, Lin C, Sun Y, Ding J. Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1551-1557. 8833327. (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). doi: 10.1109/CCDC.2019.8833327

Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

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Keywords

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