نتایج جستجو برای: adaptive kalman filter

تعداد نتایج: 310378  

2015
Guo-Yong Wang Bing-Lei Guan

We consider the problem of nonlinear filtering under the circumstance of unknown covariance statistic of the measurement noise. A novel adaptive unscented Kalman filter (UKF) integrating variational Bayesian methods and fuzzy logic techniques is proposed in this paper. It is called fuzzy adaptive variational Bayesian UKF (FAVBUKF). Firstly, the sufficient statistics of the measurement noise var...

2000
M. Oussalah

This paper deals with an on line identification of the values of these entities by a suitable adjusting of the filter gain and incorporating information about the quality of innovation sequence. The result yields a new adaptive Kalman filter. The proposal is mainly based on statistical properties of the innovation sequence of the filter and improves some previous results pointed out by Bellange...

2003
P. Jorge Escamilla-Ambrosio Neil Mort

In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for Adaptive MultiSensor Data Fusion (AMSDF). The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix of each local FL-AKF to fit the actual statistics of the noise profiles pre...

Journal: :IOP Conference Series: Materials Science and Engineering 2020

Journal: :journal of artificial intelligence in electrical engineering 2014
ahad golipour

in the present study, field oriented control of step motor implementation has been analyzed sothat it can make a sensorless control. efficiency and facilities of step motor is more than othertypes of electromotor. therefore, the numbers of mechanisms and different types of turning canbe made into them. also controlling these motors is easier than other available motors. steppingmotor has been d...

2016
Nhan Nguyen Curtis Hanson John Burken Jacob Schaefer

It is well-known that the use of a large adaptive gain in model-reference adaptive control (MRAC) can result in poor robustness.1 Two well-known robust modification methods, namely; the σ -modification2 and e-modification,3 have been used extensively. The last decade has seen a surge in many new adaptive control methods such as the L1 adaptive control,4 adaptive loop transfer recovery,5 Kalman ...

2012
Mouna Ghanai Kheireddine Chafaa

Originaly, a filter is a physical device for removing unwanted components of mixtures (gas, liquid, solid). In the area of telecommunications, signals are mixtures of different frequencies, and the term of filter is used to describe the attenuation of the unwanted frequencies. Since 1940, the concept of a filter was extended to the separation of signals from noise. With Kalman filter, the meani...

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