Hybrid State Estimation-A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators-Reference-Cited by-同舟云学术

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Hybrid State Estimation-A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators

Published:2021 Issue: Volume: Page:1-10
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sieberg Philipp M.^ORCID,Blume Sebastian^ORCID,Reicherts Sebastian,Maas Niko,Schramm Dieter^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09352545.pdf?arnumber=9352545

Cited by 13 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. Research on truck mass estimation based on long short-term memory network;Energy;2024-10

2. Mass estimation of tractor-semitrailer systems: An approach of dynamics and data fusion-driven in real environments;Measurement;2024-10

3. Reliable State Estimation in a Truck-Semitrailer Combination Using an Artificial Neural Network-Aided Extended Kalman Filter;2024 European Control Conference (ECC);2024-06-25

4. State estimation of buses: A hybrid algorithm of deep neural network and unscented Kalman filter considering mass identification;Mechanical Systems and Signal Processing;2024-05

5. Combined recurrent neural networks and particle-swarm optimization for sideslip-angle estimation based on a vehicle multibody dynamics model;Multibody System Dynamics;2024-02-19

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