Institute of Electrical and Electronics Engineers (IEEE)

IEEE Transactions on Cybernetics

, volume 50 , issue 8 , pages 3424-3432

Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints

Wei Sun ¹

Shun-Feng Su ²

Yuqiang Wu ³

Jianwei Xia ¹

Van Truong Nguyen ⁴

Hide authors affiliations Show authors affiliations: 4 affiliations

School of Mathematics Science, Liaocheng University, Liaocheng, China |

Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan |

Institute of Automation, Qufu Normal University, Qufu, China |

⁴

Department of Mechanical Engineering, Hanoi University of Industry, Hanoi, Vietnam |

Publication type: Journal Article

Publication date: 2020-08-01

Institute of Electrical and Electronics Engineers (IEEE)

IEEE Transactions on Cybernetics

scimago Q1

wos Q1

SJR: 4.450

CiteScore: 25.7

Impact factor: 10.5

ISSN: 21682267, 21682275

DOI: 10.1109/tcyb.2018.2890256

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PubMed ID: 30668511

Computer Science Applications

Electrical and Electronic Engineering

Information Systems

Software

Control and Systems Engineering

Human-Computer Interaction

Abstract

This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of the control systems. By the BLF and combining a backstepping design technique, an adding a power integrator, and a fuzzy control, the proposed approach can control high-order uncertain nonlinear system with full-state constraints. A novel controller is designed to ensure that the tracking errors approach to an arbitrarily small neighborhood of zero, and the constraints on system states are not violated. The numerical example demonstrates effectiveness of the proposed control method.

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Sun W. et al. Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints // IEEE Transactions on Cybernetics. 2020. Vol. 50. No. 8. pp. 3424-3432.

GOST all authors (up to 50) Copy

Sun W., Su S., Wu Y., Xia J., Nguyen V. T. Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints // IEEE Transactions on Cybernetics. 2020. Vol. 50. No. 8. pp. 3424-3432.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1109/tcyb.2018.2890256

UR - https://doi.org/10.1109/tcyb.2018.2890256

TI - Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints

T2 - IEEE Transactions on Cybernetics

AU - Sun, Wei

AU - Su, Shun-Feng

AU - Wu, Yuqiang

AU - Xia, Jianwei

AU - Nguyen, Van Truong

PY - 2020

DA - 2020/08/01

PB - Institute of Electrical and Electronics Engineers (IEEE)

SP - 3424-3432

IS - 8

VL - 50

PMID - 30668511

SN - 2168-2267

SN - 2168-2275

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2020_Sun,

author = {Wei Sun and Shun-Feng Su and Yuqiang Wu and Jianwei Xia and Van Truong Nguyen},

title = {Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints},

journal = {IEEE Transactions on Cybernetics},

year = {2020},

volume = {50},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)},

month = {aug},

url = {https://doi.org/10.1109/tcyb.2018.2890256},

number = {8},

pages = {3424--3432},

doi = {10.1109/tcyb.2018.2890256}

}

MLA

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MLA Copy

Sun, Wei, et al. “Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints.” IEEE Transactions on Cybernetics, vol. 50, no. 8, Aug. 2020, pp. 3424-3432. https://doi.org/10.1109/tcyb.2018.2890256.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Journal

IEEE Transactions on Cybernetics

scimago Q1

wos Q1

SJR

4.450

CiteScore

25.7

Impact factor

10.5

ISSN

21682267 (Print)

21682275 (Electronic)