MURAKKAB DINAMIK TIZIMLARNI BOSHQARISH METODLARINING QIYOSIY TAHLILI
Keywords:
Kalit soʻzlar: murakkab tizim, intellektual boshqaruv, klassik metodlar, noaniq mantiq, neyron tarmoqlari, gibrid modellar, optimallashtirish.Abstract
Annotatsiya. Ushbu maqolada murakkab dinamik tizimlarni boshqarishning
zamonaviy va klassik metodlari qiyosiy tahlil qilinadi. Tizimli tahlil yondashuvi
asosida, an’anaviy matematik modellarning yuqori noaniqlik va tashqi muhit ta’siri
sharoitidagi cheklovlari tadqiq etilgan. Intellektual texnologiyalar (neyron tarmoqlari,
noaniq mantiq, evolyutsion algoritmlar) integratsiyasi hamda adaptiv gibrid
tuzilmalarni shakllantirish masalalariga alohida e’tibor qaratilgan. Intellektual
avtomatlashtirilgan boshqaruv tizimlari tarkibidagi bashorat qiluvchi algoritmlarning
yuqori aniqligini tasdiqlovchi simulyatsiya modellashtirish natijalari keltirilgan.
References
ADABIYOTLAR ROʻYXATI (REFERENCES)
1. Åström, K. J., & Murray, R. M. (2008). Feedback Systems: An Introduction for Scientists
and Engineers. Princeton University Press. doi.org [source: 1].
2. Gavrilov, A. V., & Novitskaya, Yu. V. (2013). Hybrid Intelligent Systems. Novosibirsk
State Technical University.
3. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press [source:
1].
4. Kholmatov, K. I. (2026). Models and algorithms of intelligent control systems. Journal of
Denau Institute of Entrepreneurship and Pedagogy, 4(2), 45–52 [source: 1].
5. Kim, S., Wang, H., & Zhao, R. (2021). Stochastic modelling applications for non-linear
systems. Automatica, 123, Article 109118. doi.org [source: 1].
6. Kolesnikov, A. A. (2024). Synergetic Methods of Complex Systems Control: Theory of
System Synthesis. KomKniga.
7. Nguyen, T., Schmidt, M., & Jackson, L. (2020). AI in control theory: A decade review of
intelligent algorithms. Journal of Intelligent Systems, 28(2), 89–104. doi.org [source: 1].
8. Smith, J. (2021). Intelligent control paradigms in automation technologies. Control
Engineering Practice, 95, 104–115. doi.org [source: 1].
9. Wang, H., & Zhao, R. (2022). Simulation-based optimization in intelligent control
systems. International Journal of Control, 56(4), 210–224. doi.org [source: 1].
