ALGORITHMS FOR MAKING CONTROL SYSTEMS BASED ON NEURAL NETWORK TECHNOLOGY TO AUTOMATE DYNAMIC PLANTS

Authors

Jasur Sevinov, Tashkent state technical university. Adress: Uzbekistan, Tashkent city, University street 2. E-mail: sevinovjasur@gmail.com,Follow
Abdishukurov Maqsudovich Shavkat, Tashkent state technical university. Adress: Uzbekistan, Tashkent city, University street 2. E-mail: shavkatabdishukurov66@gmail.com.Follow

Abstract

This paper examines the stages of multilayer neural network technology for the control and identification of dynamic systems. It is seen many ways to use multilayer neural networks in control systems. Neural controllers are based on several models and algorithms. Examples of such algorithms include the predictive model-based control algorithm, the Narma-L2 control algorithm, and the benchmark model-based control algorithm. These controllers illustrate various general ways to use multilayer neural networks in control systems. Common, standard linear control architectures have been proposed for many neural controllers.

First Page

65

Last Page

70

References

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Recommended Citation

Sevinov, Jasur and Shavkat, Abdishukurov Maqsudovich (2025) "ALGORITHMS FOR MAKING CONTROL SYSTEMS BASED ON NEURAL NETWORK TECHNOLOGY TO AUTOMATE DYNAMIC PLANTS," Chemical Technology, Control and Management: Vol. 2025: Iss. 3, Article 8.
DOI: https://doi.org/10.59048/2181-1105.1687