Open AccessSynthesis Algorithms for Adaptive Process Control Systems Based on Associative Memory Technology
Author(s) -
Zaripov Oripjon Olimovich*,
Sevinova Dildora Usmonovna,
Sevinov Iskandar Uchqun ogli
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4745.129219
Subject(s) - computer science , process (computing) , content addressable memory , associative property , algorithm , adaptive control , control (management) , artificial intelligence , artificial neural network , mathematics , pure mathematics , operating system
The results of the regular synthesis algorithms development for adaptive process control systems based on the associative memory technology are presented in the article. The single-step and multi-step, deterministic and stochastic algorithms used for solving control and tracking problems are considered. The relative simplicity of these algorithms makes possible to recommend them for managing complex objects in conditions of uncertainty using concepts and associative memory technology. Based on the technology of associative memory, synthesis algorithms for adaptive production process control systems are proposed to function under unpredictable uncertainties and ensure the rate of the structure adapting process of the main system circuit, commensurate with the rate of transients in the technological control object operating under stochastic independent disturbances.