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

K Shi, J Wang, S Zhong, Y Tang, J Cheng - Fuzzy Sets and Systems, 2020 - Elsevier
This paper deals with the non-fragile memory filtering issue of TS fuzzy delayed neural
networks with randomly occurring time-varying parameters uncertainties and variable …

Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies

K Shi, J Wang, Y Tang, S Zhong - Fuzzy Sets and Systems, 2020 - Elsevier
This paper investigates the issue of the reliable asynchronous sampled-data filtering of
Takagi–Sugeno (T–S) fuzzy delayed neural networks with stochastic intermittent faults …

Synchronization of delayed fuzzy neural networks with probabilistic communication delay and its application to image encryption

S Yan, Z Gu, JH Park, X Xie - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In this article, we study the design of fuzzy synchronization controller of Takagi–Sugeno (T–
S) fuzzy neural networks with distributed time-varying delay and probabilistic network …

New reliable nonuniform sampling control for uncertain chaotic neural networks under Markov switching topologies

K Shi, J Wang, S Zhong, X Zhang, Y Liu… - Applied Mathematics and …, 2019 - Elsevier
This paper studies the stochastic exponential synchronization problem for uncertain chaotic
neural networks (UCNNs) with probabilistic faults (PFs) and randomly occurring time-varying …

Stochastic switched sampled-data control for synchronization of delayed chaotic neural networks with packet dropout

J Wang, K Shi, Q Huang, S Zhong, D Zhang - Applied Mathematics and …, 2018 - Elsevier
This paper addresses the exponential synchronization issue of delayed chaotic neural
networks (DCNNs) with control packet dropout. A novel stochastic switched sampled-data …

Stabilization analysis for fuzzy systems with a switched sampled-data control

J Luo, M Li, X Liu, W Tian, S Zhong, K Shi - Journal of the Franklin Institute, 2020 - Elsevier
This study focuses on the stabilization analysis for fuzzy systems with the switched sampled-
data control. By utilizing the information of the membership functions, an improved time …

Novel results on global stability analysis for multiple time-delayed BAM neural networks under parameter uncertainties

NM Thoiyab, P Muruganantham, Q Zhu… - Chaos, Solitons & …, 2021 - Elsevier
This paper describes a new global robust stability analysis of bidirectional associative
memory (BAM) neural networks. Under parameter uncertainty, we find a new upper bound …

Asynchronous sampled-data filtering design for fuzzy-affine-model-based stochastic nonlinear systems

J Qiu, W Ji, IJ Rudas, H Gao - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
This article studies the asynchronous sampled-data filtering design problem for Itô stochastic
nonlinear systems via Takagi-Sugeno fuzzy-affine models. The sample-and-hold behavior of …

Outlier-Resistant Nonfragile Control of T–S Fuzzy Neural Networks With Reaction–Diffusion Terms and Its Application in Image Secure Communication

F Fang, Y Liu, JH Park, Y Liu - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
This article focuses on a new outlier-resistant nonfragile control issue for a class of Takagi–
Sugeno fuzzy delayed neural networks with reaction–diffusion terms. Compared with the …

Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design

J Zhou, X Ma, Z Yan, S Arik - Neural Networks, 2024 - Elsevier
This paper is concerned with non-fragile output-feedback control for time-delay neural
networks with persistent dwell time (PDT) switching in a continuous-time setting. The main …