A survey on set-membership filtering for networked control systems under communication protocols-Reference-Cited by-同舟云学术

A survey on set-membership filtering for networked control systems under communication protocols

Published:2018-01-01 Issue:1 Volume:6 Page:293-303
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Li Xuerong¹,Dong Hongli¹,Han Fei¹,Li Jiahui¹

Affiliation:

1. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, People's Republic of China

Funder

National Natural Science Foundation of China

Northeast Petroleum University Innovation Foundation

Alexander von Humboldt Foundation of Germany

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2018.1494639

Reference119 articles.

1. Extended Kalman filter-based mobile robot localization with intermittent measurements

2. Guaranteed state estimation by zonotopes

3. A set-membership state estimation algorithm based on DC programming

4. Static-output feedback controller design for a class of nonlinear networked control systems with random delay and data packet dropout

Cited by 11 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. Robust Optimal Controller for Two-wheel Self-Balancing Vehicles Using Particle Swarm Optimization;International Journal of Mechanical Engineering and Robotics Research;2023

2. Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol;International Journal of Systems Science;2022-03-25

3. Observer-Based PID Security Control for Discrete Time-Delay Systems Under Cyber-Attacks;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2021-06

4. Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities;Neural Networks;2020-10

5. Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges;Information Fusion;2020-08