基于量化控制的T-S模糊复杂网络固定/预分配时间输出同步

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Nonlinear Analysis-Hybrid Systems Pub Date : 2023-10-01 DOI:10.1016/j.nahs.2023.101434
Yuhua Gao , Juan Yu , Cheng Hu , Shiping Wen , Fanchao Kong
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引用次数: 0

摘要

本文对T-S模糊复杂网络(CNs)的固定时间(FXT)和预分配时间(PAT)输出同步进行了分析。首先,为了提高信息的传输效率,设计了一种对数量化的纯幂律控制策略,幂律项只有一个自由参数;然后,利用FXT稳定性定理和不等式技巧,得到了实现T-S模糊神经网络FXT输出同步的紧致判据,消除了输出矩阵正定对角形式的限制。进一步研究了T-S模糊神经网络的PAT输出同步问题,提出了一种幂律形式的量化控制方案。最后给出了三个数值算例来验证所提出的控制设计和准则。
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Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control

This article is devoted to the analysis of fixed-time (FXT) and preassigned-time (PAT) output synchronization for T–S fuzzy complex networks (CNs). Firstly, to improve transmission efficiency of information, a kind of pure power-law control strategy with logarithmic quantization is designed and the power-law terms have only one free parameter. Then, by applying FXT stability theorem as well as inequality skills, some compact criteria are obtained to achieve FXT output synchronization of T–S fuzzy CNs, and the restriction on the output matrix with positive definite and diagonal form is removed. Furthermore, the PAT output synchronization of T–S fuzzy CNs is further explored by developing a quantized control scheme with power-law form. Three numerical examples in the end are given to attest the proposed control design and criteria.

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来源期刊
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
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