Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints

Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints

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 thi...

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Main Authors: Diveev Askhat, Shmalko Elizaveta
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171002004
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spelling doaj-df8e601879ed4f639b099d99d10a96a32021-02-02T04:19:48ZengEDP SciencesITM Web of Conferences2271-20972017-01-01100200410.1051/itmconf/20171002004itmconf_sa2017_02004Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic ConstraintsDiveev AskhatShmalko ElizavetaDynamic 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.https://doi.org/10.1051/itmconf/20171002004
collection DOAJ
language English
format Article
sources DOAJ
author Diveev Askhat
Shmalko Elizaveta
spellingShingle Diveev Askhat
Shmalko Elizaveta
Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
ITM Web of Conferences
author_facet Diveev Askhat
Shmalko Elizaveta
author_sort Diveev Askhat
title Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
title_short Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
title_full Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
title_fullStr Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
title_full_unstemmed Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
title_sort complete binary variational analytic programming for synthesis of control at dynamic constraints
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2017-01-01
description 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.
url https://doi.org/10.1051/itmconf/20171002004
work_keys_str_mv AT diveevaskhat completebinaryvariationalanalyticprogrammingforsynthesisofcontrolatdynamicconstraints
AT shmalkoelizaveta completebinaryvariationalanalyticprogrammingforsynthesisofcontrolatdynamicconstraints
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