Treffer: PYTHON PACKAGE FOR INTELLIGENT CONTROL SYSTEMS SYNTHESIS ; БИБЛИОТЕКА PYTHON ДЛЯ СИНТЕЗА ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ УПРАВЛЕНИЯ

Title:
PYTHON PACKAGE FOR INTELLIGENT CONTROL SYSTEMS SYNTHESIS ; БИБЛИОТЕКА PYTHON ДЛЯ СИНТЕЗА ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ УПРАВЛЕНИЯ
Source:
RUDN Journal of Engineering Researches
Publisher Information:
Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН)
Publication Year:
2020
Collection:
NORA (National aggregator of open repositories of Russian universities) / Национальный агрегатор открытых репозиториев российских университетов
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
Russian
Rights:
open access
Accession Number:
edsbas.E22101D7
Database:
BASE

Weitere Informationen

This article is devoted to the desription of аpython library based on symbolic regression methods for control systems synthesis problem. Control sysnthesis is becoming more and more relevant, gaining particular importance in view of the rapid development of robotics. Usually, practicians and engineers apply template-type regulators when modeling, and then select optimal parameters for them. At a time when the computing power of PC’s has reached its peak, and programming languages have become extremely expressive due to the high level of abstraction and the vastness of libraries, it is better to implement the synthesis in the form of a library. Python was chosen as the language for synthesis implementation. According to the authors of the article, Python is a convenient language for programming matrix and vector calculations thanks to the numpy package. Moreover, the share of projects written in Python in the web service for hosting Github has been steadily increasing recently, which indicates the support of the language from the developer community. This article describes how to use the package to solve the problem of control synthesis. The authors provide the description of the symbolic regression method, the network operator and algorithms for finding the optimal solution using the principle of small variations of the basic solution. In the experimental part of the article, an example of how to use the library to solve the problem of synthesis of control of a mobile robot moving on a planewith obstacles is considered. ; Статья посвящена описанию библиотеки программ на языке Python для решения задач синтеза систем управления методами символьной регрессии. Задача синтеза становится все более актуальной, приобретая особое значение ввиду стремительного развития робототехники. Как правило, инженеры и просто практики используют регуляторы шаблонного типа при моделировании, а затем подбирают под них параметры. В условиях, когда вычислительная мощность персональных компьютеров достигла своего апогея, а языки ...