scholarly journals The Information Processing Algorithm in a Semi-Passive Homing System for Movable Objects

2021 ◽  
Vol 27 (2) ◽  
pp. 185-194
Author(s):  
V. I. Pavlov ◽  
S. V. Artemova ◽  
T. Yu. Dorokhova ◽  
V. V. Aksenov
Keyword(s):  
Information Processing ◽  
Control System ◽  
Processing Algorithm ◽  
Signal Interference ◽  
Mobile Object ◽  
Structural Diagram ◽  
Mobile Objects

In addition to the existing methods, a new semi-passive homing method for mobile objects is proposed; the advantages and the prospects of the developed method are discussed. A structural diagram of a semi-passive homing control system for a mobile object has been developed and the features of its functioning have been noted. A structural diagram and an algorithm for the functioning of a new block for recognizing signal-interference situations have been developed. The results of the study confirming the feasibility of developing a semi-passive homing method for mobile objects are presented.

scholarly journals Logical model of mobile object control

2021 ◽  
Vol 34 (01) ◽  
pp. 504-513
Author(s):  
Stanislav A. Kudzh ◽  
Victor Ya. Tsvetkov
Keyword(s):  
Mathematical Logic ◽  
Control System ◽  
Mobile Object ◽  
Logical Model ◽  
Object Control ◽  
Mobile Objects ◽  
Control Rules ◽  
Excluded Middle ◽  
Soft Control ◽  
Control Tool

This paper describes a logical model applied as a soft control tool to mobile objects. The model of the logical spatial situation without uncertainty, i.e., according to the law of excluded middle, is considered as the basis. Nonetheless, the motion rules are derived using an approach applied in constructible mathematics and logic. The approach consists in the finitude of variants of control and analyzing all potential traffic scenarios. The constructible object considered in this paper is the situation’s logical model. The constructible approach consists in considering the model of a typical railway station by the example of which the traffic is analyzed. The situation’s logical model is implemented as a condition for potential traffic. This model is described using mathematical logic with the help of logical variables and rules. The control system in this case makes use of permissible versions of logical designs. The control relies on the feasibility of traffic. The system of control rules is developed on the basis of the logical situation’s model and formed without uncertainty. The article provides an analysis of complementary kinds of traffic.

scholarly journals Path Planning for Mobile Objects in Four-Dimension Based on Particle Swarm Optimization Method with Penalty Function

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yong Ma ◽  
M. Zamirian ◽  
Yadong Yang ◽  
Yanmin Xu ◽  
Jing Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Penalty Function ◽  
Particle Swarm ◽  
Goal Function ◽  
Optimization Method ◽  
Mobile Object ◽  
Time Varying ◽  
Swarm Optimization ◽  
Calculus Of Variation ◽  
Mobile Objects

We present one algorithm based on particle swarm optimization (PSO) with penalty function to determine the conflict-free path for mobile objects in four-dimension (three spatial and one-time dimensions) with obstacles. The shortest path of the mobile object is set as goal function, which is constrained by conflict-free criterion, path smoothness, and velocity and acceleration requirements. This problem is formulated as a calculus of variation problem (CVP). With parametrization method, the CVP is converted to a time-varying nonlinear programming problem (TNLPP). Constraints of TNLPP are transformed to general TNLPP without any constraints through penalty functions. Then, by using a little calculations and applying the algorithm PSO, the solution of the CVP is consequently obtained. Approach efficiency is confirmed by numerical examples.

scholarly journals EXTRACTING MOBILE OBJECTS IN IMAGES USING A VELODYNE LIDAR POINT CLOUD

2015 ◽  
Vol II-3/W4 ◽  
pp. 247-253 ◽  
Author(s):  
B. Vallet ◽  
W. Xiao ◽  
M. Brédif
Keyword(s):  
Point Cloud ◽  
Mobile Object ◽  
Object A ◽  
Mobile Objects ◽  
Dempster Shafer Theory ◽  
Static Part ◽  
Shafer Theory

This paper presents a full pipeline to extract mobile objects in images based on a simultaneous laser acquisition with a Velodyne scanner. The point cloud is first analysed to extract mobile objects in 3D. This is done using Dempster-Shafer theory and it results in weights telling for each points if it corresponds to a mobile object, a fixed object or if no decision can be made based on the data (unknown). These weights are projected in an image acquired simultaneously and used to segment the image between the mobile and the static part of the scene.

The Study of Numerical Control Algorithm and Hardware

2012 ◽  
Vol 488-489 ◽  
pp. 1697-1701
Author(s):  
Rui Wu ◽  
Yuan Kui Xu
Keyword(s):  
Information Processing ◽  
Control System ◽  
Machine Tools ◽  
Control Algorithm ◽  
Numerical Control ◽  
Numerical Control System ◽  
Manufacturing Control ◽  
Hardware System ◽  
Continuous Progress ◽  
The Right

With the continuous progress of science and technology, manufacturing has been a huge space for development. Nowadays numerical control system is widely used in manufacturing. Numerical control system is actually manufacturing control system. By actual information required, with decoded by computer, after information processing It will the process control operations of machine tools to process out the right components. With more complexity of manufacturing, we have higher requirements to pretreatment data of numerical control system. This paper will focus on numerical control algorithm and hardware system to study.

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