Fuzzy model system for adaptive control of dynamic objects has been developed

20.02.2025 /

One of the important scientific results obtained in 2024 at the Institute of Control Systems (ICS) of the Ministry of Science and Education of the Republic of Azerbaijan in the field of theoretical and applied control problems is the development of “Fuzzy model system for adaptive control of dynamic objects and information support of decision making under uncertainty” by Prof. Ramin Rzayev.

The problem of adaptive control of dynamic objects under uncertainty is one of the most important parts of the general control problem. At present, the solution of such problems is possible on the basis of application of new information technologies, including intelligent information processing tools.

In modern information technologies such tools are neural networks, which in combination with methods and models of fuzzy mathematics and fuzzy logic allow creating fundamentally new hardware and software tools.

In the course of the research, methods and algorithms for the implementation of fuzzy mathematical operations on the logical basis of a neural network were developed. This allowed for a significant improvement in the accuracy and objectivity of such operations, ensuring the effectiveness of decision-making under uncertainty in solving some applied problems.