INTEGRATION OF THE BELLMAN METHOD INTO AN INTELLECTUAL MODEL IN OPTIMAL CONTROL OF DYNAMIC OBJECTS

Authors

  • Akromxo‘jayev Y TOSHKENT KIMYO-TEXNOLOGIYA INSTITUTI
  • Abdusalomov A. J. TOSHKENT KIMYO-TEXNOLOGIYA INSTITUTI

Keywords:

Bellman method; intelligent control; neural network; optimal algorithm; dynamic systems

Abstract

This article discusses the development and practical application of intelligent control algorithms for dynamic systems based on the Bellman method. The model improves decision-making accuracy through the integration of a neural network and the Bellman equation. This approach offers new solutions for complex and uncertain systems.

References

Bellman, R. Dynamic Programming. Princeton University Press, 1957.

Sutton, R. S., & Barto, A. G. Reinforcement Learning: An Introduction. MIT Press, 2018.

Schmidhuber, J. Deep Learning in Neural Networks: An Overview. Neural Networks,

Ma, Q., & Stachurski, J. Dynamic Programming Deconstructed. arXiv, 2018.

Zaripov, O., & Zaripova, S. Dinamik boshqaruv modellarining raqamli tahlili.

TKTInformatika, 2022.

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Published

2025-07-01

Issue

Vol. 2 No. 5.2 (2025): REPUBLICAN SCIENTIFIC-PRACTICAL CONFERENCE ON THE THEME "IMPROVING QUALITY AND EFFICIENCY IN TRAINING FUTURE ENGINEERS-TECHNOLOGISTS: PROBLEMS, ANALYSIS AND SOLUTIONS" COLLECTION OF MATERIALS May 30, 2025

Section

Articles

License

Copyright (c) 2025 Akromxo‘jayev Y, Abdusalomov A. J.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

INTEGRATION OF THE BELLMAN METHOD INTO AN INTELLECTUAL MODEL IN OPTIMAL CONTROL OF DYNAMIC OBJECTS. (2025). Universal International Scientific Journal, 2(5.2), 310. https://universaljurnal.uz/index.php/jurnal/article/view/3127