ELEKTR TRANSPORT VOSITALARIDA ENERGIYA SAMARADORLIGINI OSHIRISHNING ILG‘OR BOSHQARUV ALGORITMLARI
Keywords:
elektr transport, energiya samaradorligi, sun’iy intellekt, MPC, optimallashtirish, batareya, boshqaruv tizimiAbstract
Ushbu maqolada elektr transport vositalarida (ETV) energiya samaradorligini
oshirish muammosi keng ilmiy yondashuv asosida tahlil qilingan. Tadqiqotda Model
Predictive
Control (MPC), mashinaviy o‘rganish (Machine Learning),
mustahkamlovchi o‘rganish (Reinforcement Learning) va noaniq mantiq tizimlari
(Fuzzy Logic) asosida ishlovchi boshqaruv algoritmlari o‘rganildi. Natijalar shuni
ko‘rsatadiki, gibrid boshqaruv tizimlari energiya sarfini sezilarli darajada kamaytirish
va batareya samaradorligini oshirishda eng samarali hisoblanadi.
References
1. Camacho, E.F., Bordons, C. Model Predictive Control. Springer, 2007.
2. Sutton, R.S., Barto, A.G. Reinforcement Learning: An Introduction. MIT
Press, 2018.
3. Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. MIT Press, 2016.
4. Vaswani et al. Attention Is All You Need, 2017.
