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

School of Electrical Engineering

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

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
Journal	IEEE Systems Journal
DOIs	https://doi.org/10.1109/JSYST.2020.3048720
Publication status	Accepted/In press - 2021

Keywords

Actuator failures
Actuators
adaptive fuzzy control
event-triggered control
Fault tolerant systems
Fuzzy logic
large-scale systems
Large-scale systems
nonlinear switched systems
Observers
Output feedback
Switches

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

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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.",

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year = "2021",

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language = "English",

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PY - 2021

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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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KW - Switches

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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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