Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes-Reference-Cited by-同舟云学术

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Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes

Published:2018-04-24 Issue:5 Volume:47 Page:477-490
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Hou Nan¹²,Dong Hongli¹²,Zhang Weidong³,Liu Yurong⁴⁵^ORCID,Alsaadi Fuad E.⁵

Affiliation:

1. Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China.

2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China.

3. Department of Automation, Shanghai Jiaotong University, Shanghai, China.

4. Department of Mathematics, Yangzhou University, Yangzhou, China.

5. Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.

Funder

National Natural Science Foundation of China

Northeast Petroleum University Innovation Foundation For Postgraduate

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modelling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2018.1462352

Reference28 articles.

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

2. Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks

3. Event‐triggered distributed ℋ ∞ state estimation with packet dropouts through sensor networks

4. Event‐based security control for discrete‐time stochastic systems

5. Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels

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3. Optimized Distributed Filtering for Saturated Systems With Amplify-and-Forward Relays Over Sensor Networks: A Dynamic Event-Triggered Approach;IEEE Transactions on Neural Networks and Learning Systems;2023

4. Partially Measured State Estimation of Complex Dynamical Networks with Random Data Loss;Mathematical Problems in Engineering;2022-12-19

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