Synthesis of Optimal Program Control for Synchronizing the Movements of a Group of SEMS Modules

2021 ◽  
pp. 81-94
Author(s):  
A. Yu. Kuchmin
Keyword(s):  
Program Control ◽  
Optimal Program

FINDING OF THE OPTIMAL PROGRAM CONTROL OF THE METHOD OF VARIATIONS

2015 ◽  
Vol 2 (1) ◽  
pp. 254-257 ◽  
Author(s):  
Григорьев ◽  
I. Grigorev ◽  
Мустафина ◽  
S. Mustafina
Keyword(s):  
Optimal Control ◽  
Numerical Solution ◽  
Optimal Control Problems ◽  
Control Area ◽  
Program Control ◽  
Control Problems ◽  
Optimal Program ◽  
Basic Concepts

The article outlines the basic concepts of the numerical solution of optimal control problems based on the method of variations in the control area

AREA OF INITIAL POSITIONS OF A UAV (UNMANNED AERIAL APPARATUS) IN THREEDIMENSIONAL SPACE

2018 ◽  
pp. 24-29
Author(s):  
I. O. Makhonin
Keyword(s):  
Necessary Conditions ◽  
Auxiliary Problem ◽  
Program Control ◽  
Boundary Values ◽  
Optimal Program ◽  
The Maximum Principle ◽  
Phase Coordinates ◽  
Aerial Vehicle ◽  
The Moment ◽  
Computational Solution

When landing an unmanned aerial vehicle (UAV) on a ship, it is required to perform the specified boundary values of the state vector at the moment of approach to the hook equipment. The article considers the solution of the problem of calculating the points of the area of initial positions of UAV. It is mean, that each point provide hitting for the UAV to a predetermined aiming area at a given time in the vicinity of the hitch. In this case, the phase coordinates of the UAV at the time of approach to the hook device have to defined. To calculate the points located on the boundary of the area of initial positions, auxiliary problems of optimal program control have been solved. To solve it, the necessary conditions for the maximum principle of L. S. Pontryagin were used. The article considers the algorithm of the computational solution of the auxiliary problem of optimal program control and the results of calculating points thats located at the far boundary of the area of initial positions, that is mean, that points located at the maximum distance from the aiming point (the location of the hook device).

Optimal program and data locations in computer networks

1977 ◽  
Vol 20 (5) ◽  
pp. 315-322 ◽  
Author(s):  
Howard L. Morgan ◽  
K. Dan Levin
Keyword(s):  
Computer Networks ◽  
Optimal Program

A Rapid Simulation and Optimization Study of Production Line

2013 ◽  
Vol 397-400 ◽  
pp. 12-15 ◽  
Author(s):  
Xiang Fei Ma ◽  
Di Liang ◽  
Yu Cheng Pan ◽  
Hua Dong Wang
Keyword(s):  
Production Line ◽  
Distribution Fitting ◽  
Statistical Tool ◽  
Optimal Program ◽  
Simulation And Optimization ◽  
Imbalance Problem ◽  
Optimization Study ◽  
Fitting In ◽  
Simulation And Evaluation ◽  
Body Production

Based on intermittent production line balance problem, Minitab statistical tool is used for data random distribution fitting in this paper and the car body production line model of one company is established and simulated under Flexsim environment, which benefits the line imbalance problem to be found quickly and accurately. Designing optimal program based on project management network analysis and making simulation and evaluation, the productivity is improved effectively and the time to balance and optimize production line is shortened greatly.

Motivational Analyses on the Effects of Type of Instructional Control on Learning from Computer-Based Instruction

1996 ◽  
Vol 25 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Yong-Chil Yang ◽  
Wee-Kyo Chin
Keyword(s):  
Control Strategies ◽  
Motivational Factors ◽  
Instructional Materials ◽  
Program Control ◽  
Computer Based Instruction ◽  
Instructional Control ◽  
Significant Difference ◽  
Post Test ◽  
Computer Based ◽  
Based Instruction

The purpose of this study was to analyze motivational effects of type of instructional control on learning from computer-based instruction, according to Keller's ARCS model of motivational design. Forty-eight sixth graders were randomly assigned to either learner or program control groups. Instructional materials were computer-based instructional programs for teaching four concepts utilized in advertisement propaganda techniques. The post-test with fifteen items for learning and Instructional Motivation Measurement Survey with thirty-six statements for motivation were used. The results showed that the group under program control performed better on the post-test than the group under learner control, but there was not a significant difference in Keller's ARCS motivational factors between two groups. Regardless of type of instructional control, however, the level of satisfaction among the factors was higher than that of confidence in the instruction. Such results suggest that ARCS motivational factors in designing effective instructional control strategies can be considered.

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