ADAPTIVE – COMPOSITIONAL METHOD FOR COORDINATING SUBSYSTEMS AT DIFFERENT LEVELS IN HIERARCHICAL CONTROL SYSTEMS

Authors

• Husan Zakirovich Igamberdiyev, Tashkent State Technical University named after Islam KarimovFollow
• Uktam Farxodovich Mamirov Mr, Tashkent State Technical University named after Islam KarimovFollow
• Inomjon Ilxom ugli Abdukaxxarov Mr, Tashkent State Technical University named after Islam KarimovFollow

Abstract

This paper examines the problem of synthesizing algorithms for the composition of subsystems at various levels within complex hierarchical control systems under conditions of uncertainty and resource constraints. It is demonstrated that classical composition algorithms, which rely on the intersection of admissible sets and the use of local optimality criteria, suffer from several significant drawbacks. These include a combinatorial increase in complexity, dependence on the expert selection of parameters, and limited applicability in dynamic environments. To overcome these shortcomings, an adaptive-compositional method is proposed. This method is based on the dynamic recalculation of coordination parameters, the integration of model predictive control (MPC) methods, the use of the Lagrange multiplier principle for resource allocation, and the application of neural network models to approximate complex dependencies. The proposed approach ensures the alignment of local and global optimality criteria, enhances the stability of solutions, and reduces the computational complexity of the composition problem. The theoretical results are substantiated by the formalization of the algorithm and an analysis of its properties. It is shown that the proposed method can be effectively employed in the development of intelligent control systems for industry, energy, and transportation

First Page

64

Last Page

69

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Recommended Citation

Igamberdiyev, Husan Zakirovich; Mamirov, Uktam Farxodovich Mr; and Abdukaxxarov, Inomjon Ilxom ugli Mr (2026) "ADAPTIVE – COMPOSITIONAL METHOD FOR COORDINATING SUBSYSTEMS AT DIFFERENT LEVELS IN HIERARCHICAL CONTROL SYSTEMS," Technical science and innovation: Vol. 2026: Iss. 2, Article 11.
Available at: https://btstu.researchcommons.org/journal/vol2026/iss2/11