ITM Web Conf.
Volume 10, 20172017 Seminar on Systems Analysis
|Number of page(s)||5|
|Published online||15 March 2017|
Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
1 Federal Research Centre “Computer Science and Control” of Russia Academy of Sciences, 119333 Moscow, Russia
2 RUDN University, Engineering Academy, 117198 Moscow, Russia
* Corresponding author: email@example.com
Dynamic constraints arise at control of the robot moving in the neighborhood of other robots. In this case, together with ensuring stability of the robot in a goal point it is necessary to provide instability for the robot in the area of state space where is some other robot. For the solution of this task, we use a new method of symbolic regression - a method of binary variational analytical programming. The new method has advantages in comparison with genetic or analytical programming in case of performing crossover, and it uses the principle of small variations of the basic solution to increase the efficiency of an algorithm of search of the optimal solution.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.