МЕТОДЫ И АЛГОРИТМЫ УПРАВЛЕНИЯ ВОДНЫМИ РЕСУРСАМИ В РЕЛАКСАЦИОННЫХ СИСТЕМАХ: СТРУКТУРНО-АЛГОРИТМИЧЕСКИЙ ПОДХОД

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.

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