KOGNITIV MODELLAR ASOSIDA ADAPTIV BOSHQARUV ALGORITMLARINI ISHLAB CHIQISH

O‘rinjon Choriyev

Islom Karimov nomidagi Toshkent davlat texnika universiteti

Yusuf Boysariyev

Robototexnika akademiyasi 1katta o‘qituvchi

Keywords: Kognitiv modellashtirish, adaptiv boshqaruv, sun’iy intellekt, neyron tarmoqlar, fuzzy logic, modelga asoslangan boshqaruv (MPC), pH neytrallanish, Lyapunov barqarorligi, real vaqtli identifikatsiya, sanoat avtomatlashtirish.

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Abstract

Ushbu maqolada kognitiv modellar asosida adaptiv boshqaruv algoritmlarini ishlab chiqish masalasi yoritilgan. Sun’iy intellekt elementlari, jumladan, sun’iy neyron tarmoqlar, noaniq mantiqiy tizimlar va fuzzy cognitive map yondashuvlari yordamida murakkab, noma’lum va vaqt o‘tishi bilan o‘zgaruvchi tizimlarni samarali boshqarish imkoniyatlari tahlil qilingan. pH neytrallanish jarayoni misolida neyro-MPC (model-prediktiv boshqaruv) algoritmi klassik PID-regulyator bilan solishtirilib, kognitiv yondashuvning ustunliklari eksperimental natijalar asosida asoslab berilgan. Shuningdek, maqolada Lyapunov funksiyasi asosida adaptiv algoritmning nazariy turg‘unligi isbotlangan. Tadqiqot natijalari kognitiv hisoblash texnologiyalarining sanoat avtomatlashtirishda qo‘llanilishi yuqori samaradorlik va proaktiv boshqaruv imkonini berishini tasdiqlaydi.

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