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
Аннотация
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.
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