Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach-Reference-Cited by-同舟云学术

Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach

Published:2024-03 Issue: Volume:171 Page:53-60
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Lin Wen-Juan^ORCID,Wang Qingzhi,Tan Guoqiang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference31 articles.

1. Artificial neural networks-based machine learning for wireless networks: A tutorial;Chen;IEEE Communications Surveys & Tutorials,2019

2. Standard H∞ filtering formulation of robust fault detection;Chen;IFAC Proceedings Volumes,2000

3. Additional functions of variable-augmented-based free-weighting matrices and application to systems with time-varying delay;He;International Journal of Systems Science,2023

4. A new result on H∞ state estimation for delayed neural networks based on an extended reciprocally convex inequality;Hu;IEEE Transactions on Circuits and Systems II: Express Briefs,2023

5. Polynomial-type Lyapunov-Krasovskii functional and Jacobi-Bessel inequality: Further results on stability analysis of time-delay systems;Huang;IEEE Transactions on Automatic Control,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Delay-dependent Lurie–Postnikov type Lyapunov–Krasovskii functionals for stability analysis of discrete-time delayed neural networks;Neural Networks;2024-05

2. Stability analysis of discrete-time delayed systems via matrix-injection-based transformation method for bivariate quadratic functions;Journal of the Franklin Institute;2024-04

3. Integration of Quantum Technologies into Metaverse: Applications, Potentials, and Challenges;IEEE Access;2024