Effective control of hydraulic processes in water management facilities, including irrigation canals, pumping stations, and reservoirs, is increasingly important under water scarcity and climate change. Traditional control methods, such as PID regulators and manual operation, often fail to address nonlinear hydraulic behavior and rapidly changing conditions. This study reviews current approaches to optimal hydraulic control and evaluates the potential of artificial intelligence methods, including neural networks and reinforcement learning. Analysis of recent research indicates that AI-based control systems can reduce water consumption by 15–40% and energy use by 20–30%, supporting the development of efficient smart water management systems.
| Mualliflar | Raxmonov, Ozodbek, Ergashev , Otabek |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-05-05 |
| Son | 2 |
| Betlar | 144-149 |
| Til | Rus |
hydraulic processes, optimal control, Saint-Venant equations, artificial intelligence, neural networks, reinforcement learning, irrigation systems, energy saving., Гидравлические процессы, оптимальное управление, уравнения Сен-Венана, искусственный интеллект, нейронные сети, обучение с подкреплением, ирригационные системы, энергосбережение., gidravlik jarayonlar, optimal boshqaruv, Sent-Venant tenglamalari, sun'iy intellekt, neyron tarmoqlari, mustahkamlashni o'rganish, sug'orish tizimlari, energiya tejash.
This paper investigates the effectiveness of transformer-based models (mBERT, BERTbek, XLM-R, ALBERT, ELECTRA) in analyzing Telegram social media text data. The study represents text data as contextual embeddings and…
This article presents the results of a study on applying the particle swarm optimization algorithm to extract informative features from a training dataset. An informative feature extraction model was developed based on…
Predicting hydrological dynamics in semi-arid regions is challenging due to climate instability. This study proposes a hybrid modeling framework integrating Seasonal-Trend decomposition (STL), SARIMA, and Long…
Abstract: This article examines the digital literacy gap between parents and children in the modern digital environment and its impact on the effectiveness of parental supervision. A survey of 150 families from the…
This study is devoted to the development of a symmetric binary fractal tree model based on fractal geometry and the analysis of its application in furniture design. The main goal of the study is to form a parametrically…
This study explores the development of methods and algorithms for detecting hazardous objects in robotic systems powered by artificial intelligence. A specialized dataset named DENGROUS was created using the Roboflow…
This paper examines modular security architecture design for dynamically extensible web applications using Python and OAuth2. The objective is to establish a conceptual foundation for extensible authentication and…
This article discusses the issue of statistical analysis of electrocardiogram (ECG) signals. The main goal of the study is to determine the main characteristics of the signals by constructing a covariance matrix based…
Ushbu ishning asosiy maqsadi neftni qayta ishlash zavodidagi gaz fraksiyalash bo'limida propan-butan fraksiyasi (C₃) ajratish jarayoni uchun parametrlarning noaniqligi, tashqi buzilishlar va cheklangan o'lchov…
This paper proposes a simple and visually intuitive method for constructing Islamic ornamental patterns based on the “contacting polygons” technique introduced by Hankin. The proposed approach enables the formation of…