Self-tuning Information Fusion Kalman Predictor Weighted by Diagonal Matrices and Its Convergence Analysis

Author:

DENG Zi-Li

Publisher

China Science Publishing & Media Ltd.

Subject

Computer Graphics and Computer-Aided Design,Information Systems,Software,Control and Systems Engineering

Cited by 36 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. Adaptive Kalman Filter via Just-in-Time Learning for Robots with Unknown Dynamics;Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021);2022

2. Local filter-based sequential and distributed fusion state estimation for nonlinear multi-sensor systems with asynchronously correlated noises;2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C);2021-12

3. Self-Tuning Distributed Fusion Filter for Multi-Sensor Systems Subject to Unknown Model Parameters and Missing Measurement Rates;IEEE Access;2018

4. Self-Tuning Filter for the System with Unknown Colored Noise;2017 4th International Conference on Information Science and Control Engineering (ICISCE);2017-07

5. Self-tuning Kalman Filter for the City Sewage Treatment System;Proceedings of the 2017 2nd International Conference on Communication and Information Systems - ICCIS 2017;2017

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