NEYRON TARMOQ MODELLARI ASOSIDA TEXNOLOGIK JARAYONLARNI ADAPTIV BOSHQARISH ANIQLIGI VA BARQARORLIGINI OSHIRISH
Authors/Creators
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.
Files
O'roqova Sh 220-223 XXI.pdf
Additional details
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.