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
Ochiq kirish: yoʻq
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.
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