<i>H</i><sub>∞</sub> state estimation for memristive neural networks with randomly occurring DoS attacks-Reference-Cited by-同舟云学术

H_∞ state estimation for memristive neural networks with randomly occurring DoS attacks

Published:2022-03-15 Issue:1 Volume:10 Page:154-165
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Tao Huimin¹²,Tan Hailong¹²,Chen Qiwen²³,Liu Hongjian¹²,Hu Jun⁴^ORCID

Affiliation:

1. School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu, People's Republic of China

2. Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, People's Republic of China

3. School of Electrical Engineering, Anhui Polytechnic University, Wuhu, People's Republic of China

4. Department of Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Anhui Province

Heilongjiang Province Postdoctoral Science Foundation of China

AHPU Youth Top-Notch Talent Support Program

AHPU High-End equipment Intelligent Control Innovation Team

Key Laboratory of Advanced Perception

Intelligent Control of High-End Equipment of Ministry of Education in Anhui Polytechnic University of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2022.2048322

Reference46 articles.

1. Amin, S., Cárdenas, A. A. & Sastry, S. S. (2009). Safe and secure networked control systems under denial-of-service attacks. In Hybrid systems: Computation and control, 12th international conference (Vol. 5469, pp. 31–45). Springer.

2. Risk-Sensitive Control Under Markov Modulated Denial-of-Service (DoS) Attack Strategies

3. Observer-based state feedback H∞ control for offshore steel jacket structures under denial-of-service attacks

4. Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller

5. Energy-Efficient Intrusion Detection with a Barrier of Probabilistic Sensors: Global and Local

Cited by 81 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. Energy-harvesting recursive filtering for delayed systems with amplify-and-forward relays: Cooperative communication manner;Journal of the Franklin Institute;2024-12

2. State estimation based on measurement from a part of nodes for a delayed Itô type of complex network with Markovian mode-dependent parameters;Neurocomputing;2024-10

3. Recursive state estimation for two-dimensional systems over decode-and-forward relay channels: A local minimum-variance approach;Information Sciences;2024-09

4. Quadratic filtering for linear stochastic systems with dynamical bias under amplify-and-forward relays: Dealing with non-Gaussian noises;Automatica;2024-09

5. A DoS attack detection method based on adversarial neural network;PeerJ Computer Science;2024-08-09