Maqola

Neuro-fuzzy Control Algorithm of Dynamic Objects with Uncertainty of a Priori Information

Umurzakova Dilnoza MaxamadjonovnaDepartment of Information processing systems and management, Tashkent State Technical University, Tashkent, Uzbekistan

2020 International Conference on Information Science and Communications Technologies (ICISCT)conference2020en

ABI

Annotatsiya

This article discusses the issues of creating a neuro-fuzzy control algorithm for dynamic objects with the uncertainty of a priori information. A mathematical model of dynamic objects in the state space in the conditions of fuzzy initial information is proposed. A neuro-fuzzy algorithm for controlling technological objects based on a dynamic model with robust properties is synthesized.

Mavzular

Advanced Data Processing Techniques Industrial Technology and Control Systems Fuzzy Logic and Control Systems

Identifikatorlar

DOI: 10.1109/icisct50599.2020.9351462

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