Robust CAWOF Kalman predictors for uncertain multi‐sensor generalized system-Reference-Cited by-同舟云学术

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Robust CAWOF Kalman predictors for uncertain multi‐sensor generalized system

Published:2021-09-15 Issue:12 Volume:35 Page:2423-2445
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Tao Guili¹^ORCID,Liu Wenqiang²,Wang Xuemei¹,Zhang Jianfei³,Yu Haiying³

Affiliation:

1. College of Media Engineering Communication University of Zhejiang Hangzhou China

2. School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China

3. Computer and Information Engineering College Heilongjiang University of Science and Technology Harbin China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3330

Reference43 articles.

1. Multi-sensor distributed fusion estimation with applications in networked systems: A review paper

2. Multisensor data fusion: A review of the state-of-the-art

3. Optimal linear estimation fusion. I. Unified fusion rules

4. The optimality for the distributed Kalman filtering fusion with feedback

5. A state augmentation approach to interval fault estimation for descriptor systems

Cited by 2 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 Fusion Kalman Estimator of the Multi-Sensor Descriptor System with Multiple Types of Noises and Packet Loss;Sensors;2023-08-05

2. Robust weighted fusion Kalman estimators for systems with uncertain noise variances, multiplicative noises, missing measurements, packets dropouts and two‐step random measurement delays;Optimal Control Applications and Methods;2023-04-25

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