Synthesis Algorithms for Adaptive Process Control Systems Based on Associative Memory Technology
Oripjon Olimovich Zaripov1, Dildora Usmonovna Sevinova2, Iskandar Uchqun ogli Sevinov3

1Zaripov Oripjon Olimovich*, Doctor of Technical Sciences, Professor, Department of Information Processing and Control Systems, Tashkent State Technical University, Islam Karimov, Tashkent, Uzbekistan.
2Sevinova Dildora Usmonovna, Assistant, Department of Mechatronics and robotics, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.
3Sevinov Iskandar Uchqun ogli, Magistrate, Department of Information processing and control systems, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 38-42 | Volume-9 Issue-2, December 2019. | Retrieval Number: A4745119119/2019©BEIESP | DOI: 10.35940/ijitee.A4745.129219
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Abstract: 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. 
Keywords: Intelligent Control System, Associative Memory, Control Object, Adaptive Control System.
Scope of the Article: Algorithms and Complexity