scholarly journals A SOLUTION TO THE PROBLEM OF THE DETECTION OF CHANGES IN OBJECT MOTION MODE WITH A LIMITED SIZE OF THE KALMAN FILTERS BANK

2020 ◽  
Vol 59 (1) ◽  
pp. 14-23
Author(s):  
Aleksei V. Golubkov ◽  
Keyword(s):  
Kalman Filters ◽  
Object Motion ◽  
Limited Size ◽  
Motion Mode

scholarly journals ON ALGORITHM FOR DETECTING CHANGES IN THE OBJECT MOTION MODE

2021 ◽  
Vol 3 (65) ◽  
pp. 48-55
Author(s):  
Aleksey V. Golubkov ◽  
Keyword(s):  
Kalman Filters ◽  
A Priori ◽  
Current Mode ◽  
Object Motion ◽  
Sequential Decision ◽  
Motion Models ◽  
Complex Trajectory ◽  
A Priori Estimation ◽  
Average Size ◽  
Motion Mode

The article deals with the solution to the problem of determining the motion mode of an object along a complex trajectory. A hybrid stochastic model is used to describe a complex trajectory. The solution of the problem is based on the application of a sequential decision rule about the choice at an unknown time of the hypothesis about the current mode of motion, with a limited size of the bank of competing Kalman filters. An algorithm is constructed for calculating the average size of the Kalman filter bank in the case of M-possible motion modes. The algorithm is developed in a general form, therefore, it can be used not only for the four types of object motion models considered in this paper, but also for any linear discrete-time models with Gaussian noise presented by equations in the state space. The algorithm for a priori estimation of the average size of a bank of competing Kalman filters for M-possible modes of motion is implemented in MATLAB, the results of computer simulation are presented.

Identifying lake longer-term dynamics via fuzzy relations and non-linear Kalman filters

1999 ◽  
Author(s):  
Tatjana D. Kolemishevska-Gugulovska ◽  
Georgi M. Dimirovski ◽  
A. Talha Dinibutun ◽  
Norman E. Gough
Keyword(s):  
Kalman Filters ◽  
Fuzzy Relations ◽  
Non Linear

Development of the navigation complex structure for a high-precision unmanned aerial vehicle for flight in the atmosphere

2020 ◽  
Keyword(s):  
Mathematical Modeling ◽  
Unmanned Aerial Vehicle ◽  
High Precision ◽  
Kalman Filters ◽  
Inertial Navigation System ◽  
Complex Structure ◽  
Navigation Systems ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
System Errors

The navigation systems as part of the navigation complex of a high-precision unmanned aerial vehicle in conditions of different altitude flight are investigated. The working contours of the navigation complex with correction algorithms for an unmanned aerial vehicle during high-altitude and low-altitude flights are formed. Mathematical models of inertial navigation system errors used in non-linear and linear Kalman filters are presented. The results of mathematical modeling demonstrate the effectiveness of the working contours effectiveness of the navigation complex with correction algorithms. Keywords high-precision unmanned aerial vehicle; navigation complex; multi-altitude flight; work circuit; passive noises; Kalman filter; correction

Wireless indoor tracking network based on Kalman filters with an application to monitoring dairy cows

2010 ◽  
Vol 72 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Frede Aakmann Tøgersen ◽  
Flemming Skjøth ◽  
Lene Munksgaard ◽  
Søren Højsgaard
Keyword(s):  
Dairy Cows ◽  
Kalman Filters ◽  
Indoor Tracking

The analysis on the influence of mixed sliding-rolling motion mode to precision degradation of ball screw

2021 ◽  
pp. 095440622098201
Author(s):  
Qiang Cheng ◽  
Baobao Qi ◽  
Hongyan Chu ◽  
Ziling Zhang ◽  
Zhifeng Liu ◽  
...  
Keyword(s):  
Structural Parameters ◽  
Experimental Tests ◽  
Theoretical Models ◽  
Operating Conditions ◽  
Ball Screw ◽  
Rolling Motion ◽  
Degradation Model ◽  
Sliding Motion ◽  
Factors Analysis ◽  
Motion Mode

The combination of sliding/rolling motion can influence the degree of precision degradation of ball screw. Precision degradation modeling and factors analysis can reveal the evolution law of ball screw precision. This paper presents a precision degradation model for factors analysis influencing precision due to mixed sliding-rolling motion. The precision loss model was verified through the comparison of theoretical models and experimental tests. The precision degradation due to rolling motion between the ball and raceway accounted for 29.09% of the screw precision loss due to sliding motion. Additionally, the total precision degradation due to rolling motion accounted for 21.03% of the total sliding precision loss of the screw and nut, and 17.38% of the overall ball screw precision loss under mixed sliding-rolling motion. In addition, the effects of operating conditions and structural parameters on precision loss were analyzed. The sensitivity coefficients of factors influencing were used to quantitatively describe impact degree on precision degradation.

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