Pregled bibliografske jedinice broj: 703883
A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications
A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications // Expert systems with applications, 41 (2014), 16; 7061-7067 doi:10.1016/j.eswa.2014.06.021 (međunarodna recenzija, članak, znanstveni)
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Naslov
A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications
Autori
Čeperić, Vladimir ; Bako, Niko ; Barić, Adrijan
Izvornik
Expert systems with applications (0957-4174) 41
(2014), 16;
7061-7067
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
symbolic regression; RFID; AC/DC rectifier; circuit modelling; behavioural modelling
Sažetak
In this paper, we present the use of symbolic regression for the black-box modelling of non-linear dynamic behaviour in the AC/DC rectifiers of radio-frequency identification (RFID) circuits. Typical simulations of an AC/DC rectifier are exceptionally slow when performed using conventional transistor-level simulations. The proposed modelling strategy is capable of modelling the transient process, i.e., the change in the output voltage as a function of time, both accurately and efficiently. The accuracy and the simulation speed are compared to the transistor-level simulations. The results show that the symbolic regression models are accurate and several orders of magnitude faster than the transistor-level models. The proposed strategy is demonstrated for rectifiers designed using 130-nm, 180-nm and 0.35-μμm CMOS process. The simulation speed-up factor of the proposed model is shown to be between 1080 and 3.84E6 times for a root-mean-square error (RMSE) below 4.8 mV.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus