Fractional Kalman Type Filters for Estimating the State, Parameters, and Order of Fractional Dynamical System in Problems of Navigation Information Processing-Reference-Cited by-同舟云学术

Fractional Kalman Type Filters for Estimating the State, Parameters, and Order of Fractional Dynamical System in Problems of Navigation Information Processing

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 30th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)
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Author:

Amosov O.S.¹,Amosova S.G.²

Affiliation:

1. V.A. Trapeznikov Institute of Control Sciences of RAS,Laboratory of Intellectual Control Systems and Modelling,Moscow,Russia

2. V.A. Trapeznikov Institute of Control Sciences of RAS,Laboratory of Cyber-Physical Systems,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168302/10168309/10168506.pdf?arnumber=10168506

Reference14 articles.

1. Trajectory tracking while measuring distance and bearing with the use of fractal wiener process for the motion model

2. Wavelet based filtering of mobile object fractional trajectory parameters

3. Estimation of the state and parameters of fractional dynamical systems using fractional filters of the Kalman type;amosov,0

4. Peculiarities of stochastic processes with fractal properties and their applications in problems of navigation information processing

5. Peculiarities and Applications of Stochastic Processes with Fractal Properties

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1. Constructing the State Estimation Algorithms Based on Decomposition for the Fractional Dynamic Systems;2023 16th International Conference Management of large-scale system development (MLSD);2023-09-26