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Observer-Based Adaptive Fuzzy Tracking Control Using Integral Barrier Lyapunov Functionals for A Nonlinear System With Full State Constraints

Wei Zhao Yanjun Liu Lei Liu

自动化学报（英文版）2021，Vol.8Issue(3)：617-627,11.

自动化学报（英文版）2021，Vol.8Issue(3)：617-627,11.DOI:10.1109/JAS.2021.1003877

Observer-Based Adaptive Fuzzy Tracking Control Using Integral Barrier Lyapunov Functionals for A Nonlinear System With Full State Constraints

Wei Zhao ¹Yanjun Liu ²Lei Liu²

作者信息

1. School of Electrical Engineering, Liaoning University of Technology, Jinzhou 121001, China
2. College of Science, Liaoning University of Technology, Jinzhou 121001, China
折叠

摘要

关键词

Adaptive control/backstepping design/integral barrier Lyapunov function (iBLF)/states observer

Key words

Adaptive control/backstepping design/integral barrier Lyapunov function (iBLF)/states observer

引用本文复制引用

Wei Zhao,Yanjun Liu,Lei Liu..Observer-Based Adaptive Fuzzy Tracking Control Using Integral Barrier Lyapunov Functionals for A Nonlinear System With Full State Constraints[J].自动化学报（英文版）,2021,8(3):617-627,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China (62025303, 61973147), and in part by the LiaoNing Revitalization Talents Program (XLYC1907050). （62025303, 61973147）

自动化学报（英文版）

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ISSN：2329-9266

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