Published October 15, 2026 | Version v1

NEYRON TARMOQ MODELLARI ASOSIDA TEXNOLOGIK JARAYONLARNI ADAPTIV BOSHQARISH ANIQLIGI VA BARQARORLIGINI OSHIRISH

Description

Ushbu tezisda nochiziqli va vaqt bo‘yicha o‘zgaruvchan texnologik  obyektlarni boshqarishda neyron tarmoq modellarini qo‘llash imkoniyatlari tahlil  qilinadi. Jarayon holatini baholash, model xatosini onlayn tuzatish va boshqaruv  signalini cheklovlar asosida shakllantirishni birlashtiruvchi adaptiv yondashuv  tavsiflanadi. Neyron tarmoqning prognozlash qobiliyati boshqarish barqarorligini  avtomatik kafolatlamasligi ko‘rsatiladi; shu bois himoya cheklovlari va nazorat  mezonlarini joriy etish zarurligi asoslanadi.

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References

  • 1. Åström, K. J., & Wittenmark, B. (1995). Adaptive control (2nd ed.). Addison-Wesley
  • 2. Narendra, K. S., & Parthasarathy, K. (1990). Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks, 1(1), 4–27. https://doi.org/10.1109/72.80202
  • 3. Hunt, K. J., Sbarbaro, D., Żbikowski, R., & Gawthrop, P. J. (1992). Neural networks for control systems—A survey. Automatica, 28(6), 1083–1112. https://doi.org/10.1016/0005-1098(92)90053-I
  • 4. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.