Outlier-Resistant Nonfragile Control of T–S Fuzzy Neural Networks With Reaction–Diffusion Terms and Its Application in Image Secure Communication
Author:
Affiliation:
1. School of Control and Computer Engineering, North China Electric Power University, Beijing, China
2. Department of Electrical Engineering, Yeungnam University, Kyongsan, South Korea
Funder
China Huaneng Group Headquarters Science and Technology
National Natural Science Foundation of China
National Research Foundation of Korea
Ministry of Science and ICT, South Korea
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/ielx7/91/10236911/10025849.pdf?arnumber=10025849
Reference40 articles.
1. A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay
2. Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
3. Sampled-data filtering of Takagi–Sugeno fuzzy neural networks with interval time-varying delays
4. Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
5. Resilient fault-tolerant anti-synchronization for stochastic delayed reaction–diffusion neural networks with semi-Markov jump parameters
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