scholarly journals A METHOD FOOTBALL TEAM MODEL OPTIMIZATION AND APPLICATION OF THE OPTIMIZATION CONTROL

2019 ◽  
Vol 2 ◽  
pp. 84
Author(s):  
Nguyen Hoang Mai ◽  
Tran Van Dung
Keyword(s):  
Optimization Problem ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Optimization Method ◽  
Model Optimization ◽  
Football Team ◽  
Optimization Control ◽  
Team Optimization ◽  
The Difference ◽  
Team Model

The development of the AI, IoT, and Big Data have to become strongly apply to discrete event strings systems. That are modern developments of the world. Therefore, we have to have an advanced method to develop adaptive applications, especially with MIMO discrete event systems. There is a limit while using a continuous calculation to control systems because the big calculation is an obstacle. So we have to find an optimization method to reduce the number of parameters in the calculation at any time. We could do it by choice the main parameters and except auxiliary parameters. In this paper, we introduce a Football Team Optimization (FTO) method, which is a new method to do optimization problem while control with many parameters system. The application and analysis to compare any method as PSO, traditional PID, which takes out the difference of this algorithm.

scholarly journals Optimization of Link Length Fitting between an Operator and a Robot with Digital Annealer for a Leader-Follower Operation

Robotics ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 12
Author(s):  
Takuya Otani ◽  
Atsuo Takanishi ◽  
Makoto Nakamura ◽  
Koichi Kimura
Keyword(s):  
Visual Information ◽  
High Speed ◽  
Optimization Problem ◽  
Optimization Method ◽  
Combinatorial Optimization Problem ◽  
Movement Speed ◽  
Hand Position ◽  
Link Length ◽  
Heavy Burden ◽  
The Difference

In recent years, the teleoperation of robots has become widespread in practical use. However, in some current modes of robot operation, such as leader-follower control, the operator must use visual information to recognize the physical deviation between him/herself and the robot, and correct the operation instructions sequentially, which limits movement speed and places a heavy burden on the operator. In this study, we propose a leader-follower control parameter optimization method for the feedforward correction necessitated by deviations in the link length between the robot and the operator. To optimize the parameters, we used the Digital Annealer developed by Fujitsu Ltd., which can solve the combinatorial optimization problem at high speed. The main objective was to minimize the difference between the hand coordinates target and the actual hand position of the robot. In simulations, the proposed method decreased the difference between the hand position of the robot and the target. Moreover, this method enables optimum operation, in part by eliminating the need for the operator to maintain an unreasonable posture, as in some robots the operator’s hand position is unsuitable for achieving the objective.

The Improvement of Newton Method and the Validation of Optimization Idea of Blind Walking Repeatedly

2011 ◽  
Vol 250-253 ◽  
pp. 4061-4064
Author(s):  
Chun Ling Zhang
Keyword(s):  
Saddle Point ◽  
Newton Method ◽  
Optimization Problem ◽  
Initial Point ◽  
Optimization Method ◽  
Maximum Point ◽  
Optimal Result ◽  
Feasible Domain ◽  
Parallel Arithmetic ◽  
Newton Direction

The existence of maximum point, oddity point and saddle point often leads to computation failure. The optimization idea is based on the reality that the optimum towards the local minimum related the initial point. After getting several optimal results with different initial point, the best result is taken as the final optimal result. The arithmetic improvement of multi-dimension Newton method is improved. The improvement is important for the optimization method with grads convergence rule or searching direction constructed by grads. A computational example with a saddle point, maximum point and oddity point is studied by multi-dimension Newton method, damped Newton method and Newton direction method. The importance of the idea of blind walking repeatedly is testified. Owing to the parallel arithmetic of modernistic optimization method, it does not need to study optimization problem with seriate feasible domain by modernistic optimization method.

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