Fuzzy Tracking Control for Discrete-Time Nonlinear Network Systems with Privacy Protection and Dynamic Quantization

被引:0
作者
Mingquan Li
Xiaoheng Chang
机构
[1] Bohai University,College of Control Science and Engineering
来源
International Journal of Fuzzy Systems | 2023年 / 25卷
关键词
T–S fuzzy control; Privacy preservation; Tracking control; Output feedback control; Networked control systems;
D O I
暂无
中图分类号
学科分类号
摘要
This paper investigates the problem of H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal {H}}_{\infty }$$\end{document} performance output feedback tracking control of a nonlinear network control system with quantization effects in a privacy protection state. The nonlinear network system under study are represented by a Takagi–Sugeno fuzzy model. Dynamic quantization of the reference model and controlled object output signals are performed to reduce the load on the communication network. A function that converges gradually to the true value over time is used to protect the privacy of the reference model from eavesdroppers, and a tracking controller is designed to ensure that the system is asymptotically stable and has a given H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal {H}}_{\infty }$$\end{document} performance. The sufficient conditions for the tracking controller are given in the form of linear matrix inequalities. Finally, the validity of the proposed method is verified using a nonlinear mass-spring-damped system.
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页码:1227 / 1238
页数:11
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