Distributed $H_\infty$ State and Parameter Estimation Over Wireless Sensor Networks Under Energy Constraints-Reference-Cited by-同舟云学术

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Distributed $H_\infty$ State and Parameter Estimation Over Wireless Sensor Networks Under Energy Constraints

Published:2024-05 Issue:3 Volume:11 Page:2976-2988
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Asad Maryam¹^ORCID,Rehan Muhammad²^ORCID,Ahn Choon Ki³^ORCID,Tufail Muhammad²^ORCID,Basit Abdul²^ORCID

Affiliation:

1. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

2. Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan

3. School of Electrical Engineering, Korea University, Seoul, South Korea

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10510356/10402008.pdf?arnumber=10402008

Reference50 articles.

1. Distributed Recursive State Estimation for a Class of Multi-Rate Nonlinear Systems Over Wireless Sensor Networks Under FlexRay Protocols

2. Neural-Network-Based Filtering for A General Class of Nonlinear Systems under Dynamically Bounded Innovations Over Sensor Networks

3. Consensus-Based Distributed State Estimation Over Sensor Networks With Encoding-Decoding Scheme: Accommodating Bandwidth Constraints

4. Probabilistic-Constrained Distributed Set-Membership Estimation Over Sensor Networks: A Dynamic Periodic Event-Triggered Approach

5. A new event-triggered distributed state estimation approach for one-sided Lipschitz nonlinear discrete-time systems and its application to wireless sensor networks

Cited by 1 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. H∞ State and Parameter Estimation for Lipschitz Nonlinear Systems;Mathematical and Computational Applications;2024-07-04

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