Finite-Time Multiparty Synchronization of T-S Fuzzy Coupled Memristive Neural Networks With Optimal Event-Triggered Control-Reference-Cited by-同舟云学术

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Finite-Time Multiparty Synchronization of T-S Fuzzy Coupled Memristive Neural Networks With Optimal Event-Triggered Control

Published:2022 Issue: Volume: Page:1-11
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Chang Qi¹^ORCID,Park Ju H.²^ORCID,Yang Yongqing³,Wang Fei⁴

Affiliation:

1. School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, China

2. Department of Electrical Engineering, Yeungnam University, Kyongsan, Korea

3. School of Science, Jiangnan University, Wuxi, China

4. School of Mathematical Sciences, Qufu Normal University, Qufu, China

Funder

National Research Foundation of Korea

Natural Science Foundation of Shandong Province of China

Youth Creative Team Sci-Tech Program of Shandong Universities

National Natural Science Foundation of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/4358784/09980460.pdf?arnumber=9980460

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1. Intermittent dynamic event-triggered control for synchronization of Takagi–Sugeno fuzzy competitive neural networks with leakage delay and different time scales;Fuzzy Sets and Systems;2024-09

2. Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks;Chaos, Solitons & Fractals;2024-05

3. Mixed H∞/Passive Exponential Synchronization for Delayed Memristive Neural Networks with Switching Event-Triggered Control;Journal of Systems Science and Complexity;2024-02

4. Event-Triggered Finite-Time Stabilization of Fuzzy Neural Networks With Infinite Time Delays and Discontinuous Activations;IEEE Transactions on Fuzzy Systems;2024-01

5. Model Design and Exponential State Estimation for Discrete-Time Delayed Memristive Spiking Neural P Systems;2024

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