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Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print

Standard

Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints : A Prescribed-Time Approach. / Wang, Ziwei; Lam, Hak-Keung; Guo, Yao et al.

In: IEEE Transactions on Automatic Control, 29.07.2022, p. 1-8.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wang, Z, Lam, H-K, Guo, Y, Xiao, B, Li, Y, Su, X, Yeatman, E & Burdet, E 2022, 'Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach', IEEE Transactions on Automatic Control, pp. 1-8. https://doi.org/10.1109/TAC.2022.3194880

APA

Wang, Z., Lam, H-K., Guo, Y., Xiao, B., Li, Y., Su, X., Yeatman, E., & Burdet, E. (2022). Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach. IEEE Transactions on Automatic Control, 1-8. https://doi.org/10.1109/TAC.2022.3194880

Vancouver

Wang Z, Lam H-K, Guo Y, Xiao B, Li Y, Su X et al. Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach. IEEE Transactions on Automatic Control. 2022 Jul 29;1-8. Epub 2022 Jul 29. doi: 10.1109/TAC.2022.3194880

Author

Wang, Ziwei ; Lam, Hak-Keung ; Guo, Yao et al. / Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints : A Prescribed-Time Approach. In: IEEE Transactions on Automatic Control. 2022 ; pp. 1-8.

Bibtex

@article{037dc88a884144c9bec3baa58d2816a7,
title = "Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach",
abstract = "Finite/Fixed-time control yields a promising tool to optimize a system's settling time, but lacks the ability to separately define the settling time and the convergence domain (known as practically prescribed-time stability, PPTS). We provide a sufficient condition for PPTS based on a new piecewise exponential function, which decouples the settling time and convergence domain into separately user-defined parameters. We propose an adaptive event-triggered prescribed-time control scheme for nonlinear systems with asymmetric output constraints, using an exponential-type barrier Lyapunov function. We show that this PPTS control scheme can guarantee tracking error convergence performance, while restricting the output state according to the prescribed asymmetric constraints. Compared with traditional finite/fixed-time control, the proposed methodology yields separately user-defined settling time and convergence domain without the prior information on disturbance. Moreover, asymmetric state constraints can be handled in the control structure through bias state transformation, which offers an intuitive analysis technique for general constraint issues. Simulation and experiment results on a heterogeneous teleoperation system demonstrate the merits of the proposed control scheme.",
author = "Ziwei Wang and Hak-Keung Lam and Yao Guo and Bo Xiao and Yanan Li and Xiaojie Su and Eric Yeatman and Etienne Burdet",
note = "{\textcopyright}2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2022",
month = jul,
day = "29",
doi = "10.1109/TAC.2022.3194880",
language = "English",
pages = "1--8",
journal = "IEEE Transactions on Automatic Control",
issn = "0018-9286",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints

T2 - A Prescribed-Time Approach

AU - Wang, Ziwei

AU - Lam, Hak-Keung

AU - Guo, Yao

AU - Xiao, Bo

AU - Li, Yanan

AU - Su, Xiaojie

AU - Yeatman, Eric

AU - Burdet, Etienne

N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2022/7/29

Y1 - 2022/7/29

N2 - Finite/Fixed-time control yields a promising tool to optimize a system's settling time, but lacks the ability to separately define the settling time and the convergence domain (known as practically prescribed-time stability, PPTS). We provide a sufficient condition for PPTS based on a new piecewise exponential function, which decouples the settling time and convergence domain into separately user-defined parameters. We propose an adaptive event-triggered prescribed-time control scheme for nonlinear systems with asymmetric output constraints, using an exponential-type barrier Lyapunov function. We show that this PPTS control scheme can guarantee tracking error convergence performance, while restricting the output state according to the prescribed asymmetric constraints. Compared with traditional finite/fixed-time control, the proposed methodology yields separately user-defined settling time and convergence domain without the prior information on disturbance. Moreover, asymmetric state constraints can be handled in the control structure through bias state transformation, which offers an intuitive analysis technique for general constraint issues. Simulation and experiment results on a heterogeneous teleoperation system demonstrate the merits of the proposed control scheme.

AB - Finite/Fixed-time control yields a promising tool to optimize a system's settling time, but lacks the ability to separately define the settling time and the convergence domain (known as practically prescribed-time stability, PPTS). We provide a sufficient condition for PPTS based on a new piecewise exponential function, which decouples the settling time and convergence domain into separately user-defined parameters. We propose an adaptive event-triggered prescribed-time control scheme for nonlinear systems with asymmetric output constraints, using an exponential-type barrier Lyapunov function. We show that this PPTS control scheme can guarantee tracking error convergence performance, while restricting the output state according to the prescribed asymmetric constraints. Compared with traditional finite/fixed-time control, the proposed methodology yields separately user-defined settling time and convergence domain without the prior information on disturbance. Moreover, asymmetric state constraints can be handled in the control structure through bias state transformation, which offers an intuitive analysis technique for general constraint issues. Simulation and experiment results on a heterogeneous teleoperation system demonstrate the merits of the proposed control scheme.

UR - http://www.scopus.com/inward/record.url?scp=85135735508&partnerID=8YFLogxK

U2 - 10.1109/TAC.2022.3194880

DO - 10.1109/TAC.2022.3194880

M3 - Journal article

SP - 1

EP - 8

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

SN - 0018-9286

ER -