Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control-Reference-Cited by-同舟云学术

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Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control

Published:2020-09 Issue: Volume:394 Page:40-64
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Shi Kaibo,Wang Jun,Zhong Shouming,Tang Yuanyan,Cheng Jun

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, Southwest Minzu University

Opening Fund of Geomathematics Key Laboratory of Sichuan Province

Guangxi Natural Science Foundation

Basic Ability Promotion Project for Young and Middle-aged Teachers in Universities of Guangxi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference72 articles.

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2. Topology preserving non-negative matrix factorization for face recognition;Zhang;IEEE Trans. Image Process.,2008

3. A recurrent neural network for solving a class of generalized convex optimization problems;Hosseini;Neural Netw.,2013

4. A fast learning algorithm for time-delay neural networks;Jiang;Inf. Sci.,2002

5. A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks;Faydasicok;Neural Netw.,2013

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3. Nonfragile Exponential Synchronization for Delayed Fuzzy Memristive Inertial Neural Networks via Memory Sampled-Data Control;IEEE Transactions on Fuzzy Systems;2024-06

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