Fuzzy-Approximation-Based Event-Triggered Output Feedback Adaptive Control for Nonlinear Switched Large-Scale Systems With Actuator Faults

Jing Zhang; Choon Ki Ahn; Zhengrong Xiang

doi:10.1109/JSYST.2020.3048720

Fuzzy-Approximation-Based Event-Triggered Output Feedback Adaptive Control for Nonlinear Switched Large-Scale Systems With Actuator Faults

Jing Zhang, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method.

Original language	English
Pages (from-to)	2102-2109
Number of pages	8
Journal	IEEE Systems Journal
Volume	16
Issue number	2
DOIs	https://doi.org/10.1109/JSYST.2020.3048720
Publication status	Published - 2022 Jun 1

Keywords

Actuator failures
adaptive fuzzy control
event-triggered control
large-scale systems
nonlinear switched systems

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/JSYST.2020.3048720

Cite this

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title = "Fuzzy-Approximation-Based Event-Triggered Output Feedback Adaptive Control for Nonlinear Switched Large-Scale Systems With Actuator Faults",

abstract = "This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method. ",

keywords = "Actuator failures, adaptive fuzzy control, event-triggered control, large-scale systems, nonlinear switched systems",

author = "Jing Zhang and Ahn, {Choon Ki} and Zhengrong Xiang",

note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61873128 and in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX20_0297 Publisher Copyright: {\textcopyright} 2007-2012 IEEE.",

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AU - Xiang, Zhengrong

N1 - Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61873128 and in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX20_0297 Publisher Copyright: © 2007-2012 IEEE.

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N2 - This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method.

AB - This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method.

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Fuzzy-Approximation-Based Event-Triggered Output Feedback Adaptive Control for Nonlinear Switched Large-Scale Systems With Actuator Faults

Abstract

Keywords

ASJC Scopus subject areas

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