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A new adaptive fuzzy hybrid unscented Kalman/H‐infinity filter for state estimating dynamical systems

  • Published:2021-05-06 Issue:7 Volume:15 Page:459-466
  • ISSN:1751-9675
  • Container-title:IET Signal Processing
  • language:en
  • Short-container-title:IET signal process.

Author:

Masoumnezhad Mojtaba1ORCID,Tehrani Mohammad2,Akoushideh Alireza3ORCID,Narimanzadeh Nader2

Affiliation:

1. Department of Mechanical Engineering, Faculty of Chamran Technical and Vocational University Guilan Iran

2. Department of Mechanical Engineering University of Guilan Rasht Iran

3. Department of Electrical Engineering, Faculty of Chamran Technical and Vocational University Guilan Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

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. A Convolutional Neural Network Particle Filter for UUV Target State Estimation;IEEE Transactions on Instrumentation and Measurement;2022

2. Sensor-less Speed Control of Ventilation System Using Extended Kalman Filter For High Performance;2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2021-11-11
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