Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback

Rui Liu; Yueyang Li; Dong Zhao

doi:10.1109/RCAE59706.2023.10398840

Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback

Rui Liu
, Yueyang Li^*
, Dong Zhao

^*Corresponding author for this work

School of Cyber Science and Technology

University of Jinan

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

Abstract

This paper presents an innovative event-triggered non-fragile fault-tolerant control approach towards the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems subject to bounded disturbances and actuator faults based on model predictive control (MPC) strategy. The proposed fault-tolerant control method integrates both an event-triggered strategy to alleviate the transmission pressure and energy consumption of the network and a non-fragile controller design strategy to remain resilient to potential gain perturbations. Quadratic bounded (QB) technology is used to design static output feedback controllers. Moreover, the proposed method guarantees recursive feasibility and quadratical stability of closed-loop dynamics. The validity of method is verified through an example.

Original language	English
Title of host publication	2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	392-396
Number of pages	5
ISBN (Electronic)	9798350315301
DOIs	https://doi.org/10.1109/RCAE59706.2023.10398840
State	Published - 2023
Event	6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023 - Suzhou, China Duration: 3 Nov 2023 → 5 Nov 2023

Publication series

Name	2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023

Conference

Conference	6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023
Country/Territory	China
City	Suzhou
Period	3/11/23 → 5/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

event-triggered
fault-tolerant
model predictive control
non-fragile

Access to Document

10.1109/RCAE59706.2023.10398840

Cite this

Liu, R., Li, Y., & Zhao, D. (2023). Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback. In 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023 (pp. 392-396). (2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RCAE59706.2023.10398840

Liu, Rui ; Li, Yueyang ; Zhao, Dong. / Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback. 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 392-396 (2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023).

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title = "Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback",

abstract = "This paper presents an innovative event-triggered non-fragile fault-tolerant control approach towards the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems subject to bounded disturbances and actuator faults based on model predictive control (MPC) strategy. The proposed fault-tolerant control method integrates both an event-triggered strategy to alleviate the transmission pressure and energy consumption of the network and a non-fragile controller design strategy to remain resilient to potential gain perturbations. Quadratic bounded (QB) technology is used to design static output feedback controllers. Moreover, the proposed method guarantees recursive feasibility and quadratical stability of closed-loop dynamics. The validity of method is verified through an example.",

keywords = "event-triggered, fault-tolerant, model predictive control, non-fragile",

author = "Rui Liu and Yueyang Li and Dong Zhao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023 ; Conference date: 03-11-2023 Through 05-11-2023",

year = "2023",

doi = "10.1109/RCAE59706.2023.10398840",

language = "英语",

series = "2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023",

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

pages = "392--396",

booktitle = "2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023",

address = "美国",

}

Liu, R, Li, Y & Zhao, D 2023, Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback. in 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023. 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 392-396, 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023, Suzhou, China, 3/11/23. https://doi.org/10.1109/RCAE59706.2023.10398840

Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback. / Liu, Rui; Li, Yueyang; Zhao, Dong.
2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 392-396 (2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023).

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

TY - GEN

T1 - Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback

AU - Liu, Rui

AU - Li, Yueyang

AU - Zhao, Dong

PY - 2023

Y1 - 2023

N2 - This paper presents an innovative event-triggered non-fragile fault-tolerant control approach towards the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems subject to bounded disturbances and actuator faults based on model predictive control (MPC) strategy. The proposed fault-tolerant control method integrates both an event-triggered strategy to alleviate the transmission pressure and energy consumption of the network and a non-fragile controller design strategy to remain resilient to potential gain perturbations. Quadratic bounded (QB) technology is used to design static output feedback controllers. Moreover, the proposed method guarantees recursive feasibility and quadratical stability of closed-loop dynamics. The validity of method is verified through an example.

AB - This paper presents an innovative event-triggered non-fragile fault-tolerant control approach towards the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems subject to bounded disturbances and actuator faults based on model predictive control (MPC) strategy. The proposed fault-tolerant control method integrates both an event-triggered strategy to alleviate the transmission pressure and energy consumption of the network and a non-fragile controller design strategy to remain resilient to potential gain perturbations. Quadratic bounded (QB) technology is used to design static output feedback controllers. Moreover, the proposed method guarantees recursive feasibility and quadratical stability of closed-loop dynamics. The validity of method is verified through an example.

KW - event-triggered

KW - fault-tolerant

KW - model predictive control

KW - non-fragile

UR - https://www.scopus.com/pages/publications/85185200357

U2 - 10.1109/RCAE59706.2023.10398840

DO - 10.1109/RCAE59706.2023.10398840

M3 - 会议稿件

AN - SCOPUS:85185200357

T3 - 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023

SP - 392

EP - 396

BT - 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023

Y2 - 3 November 2023 through 5 November 2023

ER -

Liu R, Li Y, Zhao D. Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback. In 2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 392-396. (2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023). doi: 10.1109/RCAE59706.2023.10398840

Model Predictive Event-Triggered Non-Fragile Fault-Tolerant Control for IT2 T-S Fuzzy Systems with Static Output Feedback

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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