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Abstract
Ushbu tezisda texnologik jarayonlarni boshqarishda neyron tarmoqli identifikatsiya va adaptiv boshqaruv algoritmlarini birlashtirish masalalari ko‘rib chiqiladi. Nolinear, parametrlari vaqt davomida o‘zgaruvchi va tashqi ta’sirlarga sezgir obyektlarda klassik boshqaruv usullarining cheklovlari tahlil qilinib, real vaqt rejimida obyekt dinamikasini baholash va regulator parametrlarini moslashtirishga asoslangan yondashuv taklif etiladi. Sun’iy neyron tarmoqlar yordamida kirish-chiqish bog‘lanishlarini identifikatsiyalash, xatolik signalidan foydalanib model parametrlarini yangilash, adaptiv regulatorning ishlash mantiqi hamda barqarorlikni ta’minlash shartlari yoritiladi. Taklif qilinayotgan yondashuv kimyo, energetika, oziq-ovqat, metallurgiya va boshqa uzluksiz texnologik jarayonlarda qo‘llanishi mumkinReferences
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