Vízer, Dániel
(thyssenkrupp presta)
Data-based
modeling
In the rapidly developing world, not only the available computational capacity, but also the demands for more reliable telecommunication connections, optimal and intelligent energy distribution and generation systems, better robot pilots, autonomous systems to explore new places, for security and rescue purposes or for military applications..., etc. just to name a few, have continuously been growing from day-to-day. These applications, one-by-one, do necessitate the adequate application of the mixture of most recent results of several different fields, such as, applied numerical mathematics, physics, chemistry, computer sciences..., etc. The collective application of the previously enumerated scientific principles, with the intention to reach better, pre-designed and autonomous behavior of a certain process, are joined together in the so-called control theory. On top of that, in order to be able to develop reliable control algorithms which meet the strict requirements stated by the considered application field, it is indispensable to have a correct mathematical model of the process under study. This is the moment when system identification enters into the picture. Being a very important component of the modern control theory, system identification aims at deriving models for real-life processes and estimating its parameters. This short presentation aims at providing the big picture of the state-of the art of system identification.
The talk is held in Hungarian!
Az előadás nyelve magyar!
Date: Dec 10, Tuesday
4:15pm
Place: BME, Building „Q”, Room
QBF13