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Volume 2018, Article ID 3039061, 7 pages
Research Article

Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment

Electronic Information and Control Engineering College, Xi’an University of Architecture and Technology, Xi’an 710055, China

Correspondence should be addressed to Zhongxing Duan; moc.361@naud_xhz

Received 8 July 2017; Accepted 8 October 2017; Published 21 January 2018

Academic Editor: Junpei Zhong

Copyright © 2018 Lijun Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Lei Yu, and Junyi Hou, “Large-Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor,” Complexity, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Lei Yu, “Image Noise Preprocessing of Interactive Projection System Based on Switching Filtering Scheme,” Complexity, vol. 2018, pp. 1–10, 2018. View at Publisher · View at Google Scholar
  • 崴 李, “Modeling and Simulation of Lever-Arm Effect in Airborne Weapon Transfer Alignment,” Open Journal of Circuits and Systems, vol. 07, no. 03, pp. 84–92, 2018. View at Publisher · View at Google Scholar
  • Shixi Tang, Jinan Gu, Keming Tang, Wei Ding, and Zhengyang Shang, “Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Parameters of Grinding Robot in Complex Environments,” Complexity, vol. 2019, pp. 1–21, 2019. View at Publisher · View at Google Scholar