Event-triggered data-driven control of discrete-time nonlinear systems with unknown disturbance

Xianming Wang; Wen Qin; Ju H. Park; Mouquan Shen

doi:10.1016/j.isatra.2021.11.026

Event-triggered data-driven control of discrete-time nonlinear systems with unknown disturbance

Xianming Wang, Wen Qin, Ju H. Park, Mouquan Shen

COLLEGE OF ELECTRICAL ENGINEERING AND CONTROL SCIENCE

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

12 Scopus citations

Abstract

This paper is dedicated to event-triggered data-driven control of nonlinear systems with unknown disturbance via model free iterative learning approach. An extended state observer is employed to reconstruct the disturbance in system output. An event-triggered model free iterative learning control strategy is constructed by system input, system output and the reconstructed disturbance. Sufficient conditions are proposed to make the resultant tracking error system be uniform ultimate bounded. Simulation examples are provided to validate the effectiveness of the proposed scheme.

Original language	English
Pages (from-to)	256-264
Number of pages	9
Journal	ISA Transactions
Volume	128
DOIs	https://doi.org/10.1016/j.isatra.2021.11.026
State	Published - Sep 2022

Keywords

Event-triggered control
Extended state observer
Networked control systems

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10.1016/j.isatra.2021.11.026

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title = "Event-triggered data-driven control of discrete-time nonlinear systems with unknown disturbance",

abstract = "This paper is dedicated to event-triggered data-driven control of nonlinear systems with unknown disturbance via model free iterative learning approach. An extended state observer is employed to reconstruct the disturbance in system output. An event-triggered model free iterative learning control strategy is constructed by system input, system output and the reconstructed disturbance. Sufficient conditions are proposed to make the resultant tracking error system be uniform ultimate bounded. Simulation examples are provided to validate the effectiveness of the proposed scheme.",

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author = "Xianming Wang and Wen Qin and Park, {Ju H.} and Mouquan Shen",

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AB - This paper is dedicated to event-triggered data-driven control of nonlinear systems with unknown disturbance via model free iterative learning approach. An extended state observer is employed to reconstruct the disturbance in system output. An event-triggered model free iterative learning control strategy is constructed by system input, system output and the reconstructed disturbance. Sufficient conditions are proposed to make the resultant tracking error system be uniform ultimate bounded. Simulation examples are provided to validate the effectiveness of the proposed scheme.

KW - Event-triggered control

KW - Extended state observer

KW - Networked control systems

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JF - ISA Transactions

ER -

Event-triggered data-driven control of discrete-time nonlinear systems with unknown disturbance

Abstract

Keywords

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