This article provides an advanced control model for controlling the temperature and water level in smart home systems. The proposed model combines adaptive splines, Kalman filters, a dynamically adjustable PID controller and a neuro-fuzzy control system. The goal is to improve the efficiency and accuracy of the system in real time. Mathematical models are provided along with a detailed step-by-step solution. The analysis includes various error handling methods and comparison of results using tables and graphs.
| Mualliflar | Zaynidinov, H., Hodjaeva, D., Xuramov, L., Зайнидинов, Х.Н., Ходжаева, Д.Ф., Хурамов, Л.Я. |
|---|---|
| Jurnal | Ҳисоблаш ва амалий математика муаммолари |
| Nashr sanasi | 2025-01-04 |
| Son | 5 |
| Betlar | 91-106 |
| Til | Rus |
adaptive splines, Kalman filter, PID controller, fuzzy logic, neuro-fuzzy control, temperature control, water level control, адаптивные сплайны, фильтр Кальмана, ПИД-регулятор, нечеткая логика, нейро-нечеткое управление, регулирование температуры, регулирование уровня воды
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