| DC Field | Value | Language |
|---|
| dc.contributor.author | Elzein, I. A. | - |
| dc.contributor.author | Petrenko, Y. N. | - |
| dc.date.accessioned | 2019-01-15T13:32:28Z | - |
| dc.date.available | 2019-01-15T13:32:28Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Elzein, I. A. Improving the P&O and incremental conductance algorithms operations in photovoltaic station through a model predictive control / I. Elzein, Y. N. Petrenko // Информационные технологии и системы 2018 (ИТС 2018) = Information Technologies and Systems 2018 (ITS 2018) : материалы международной научной конференции, Минск, 25 октября 2018 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол. : Л. Ю. Шилин [и др.]. – Минск, 2018. – С. 36 - 37. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/34201 | - |
| dc.description.abstract | With availability of fast computers and
microprocessors, MPC is increasingly OЁnding
application in many other engineering domains
such as robotics, automobiles, nuclear and
aerospace industries. Major strengths of MPC
are abilities to handle multivariable interactions
and operating constraints in systematic manner. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | MPC formulations | ru_RU |
| dc.subject | dynamic models | ru_RU |
| dc.title | Improving the P&O and incremental conductance algorithms operations in photovoltaic station through a model predictive control | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | ИТС 2018
|
