This paper presents methods and algorithms for automated water resource management in closed waterbody systems operating under conditions of relaxation (inertial) dynamics and stochastic uncertainty. A structural scheme of an intelligent control system is developed, integrating modules for data assimilation, Bayesian filtering, adaptive identification, ensemble forecasting, and stochastic predictive control. Mathematical models of relaxationstochastic water balance and algorithms for their numerical implementation are proposed. The results are validated using data from Lake Aydarkul.
| Mualliflar | Озодов, Эъзозбек, Талипова, Гузал |
|---|---|
| Jurnal | O’zbekiston qishloq va suv xo’jaligi |
| Nashr sanasi | 2026-08-04 |
| Jild | 2026 |
| Son | 8 |
| Betlar | 58-60 |
| Til | O‘zbek |
stochastic control, closed waterbody systems, relaxation processes, intelligent automation, LSTM, Lake Aydarkul, стохастическое управление, замкнутые водоёмные системы, релаксационные процессы, интеллектуальная автоматизация, LSTM, озеро Айдаркуль, стохастик бошқарув, ёпиқ сув ҳавзалари тизимлари, релаксацион жараёнлар, интеллектуал автоматлаштириш, LSTM, Айдаркўл кўли
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