Hybrid-drivenH∞filter design for T–S fuzzy systems with quantization-Reference-Cited by-同舟云学术

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Hybrid-drivenH∞filter design for T–S fuzzy systems with quantization

Published:2019-02 Issue: Volume:31 Page:135-152
ISSN:1751-570X
Container-title:Nonlinear Analysis: Hybrid Systems
language:en
Short-container-title:Nonlinear Analysis: Hybrid Systems

Author:

Liu Jinliang^ORCID,Wei Lili,Cao Jie,Fei Shumin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Six Talent Peaks Project in Jiangsu Province, China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, China

Publisher

Elsevier BV

Subject

Computer Science Applications,Analysis,Control and Systems Engineering

Reference44 articles.

1. Robust H∞ stabilization conditions for a class of uncertain T-S fuzzy neutral systems with disturbance;Tsai;Neurocomputing,2016

2. T-S fuzzy-model-based robust stabilization for a class of nonlinear discrete-time networked control systems;Hu;Nonlinear Anal. Hybrid Syst.,2013

3. Quantized stabilization for T-S fuzzy systems with hybrid-triggered mechanism and stochastic cyber attacks;Liu;IEEE Trans. Fuzzy Syst.,2018

4. Fuzzy tracking control for nonlinear networked systems;Li;IEEE trans. cybern.,2016

5. Exponential stability analysis and ℓ1 synthesis of positive T-S fuzzy systems with time-varying delays;Meng;Nonlinear Anal. Hybrid Syst.,2017

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4. Hybrid‐driven‐based resilient control for networked T‐S fuzzy systems with time‐delay and cyber‐attacks;International Journal of Robust and Nonlinear Control;2023-06-03

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