Kusumandari, Dwi Esti
Jurnal Pembelajaran Fisika

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Journal : Teknologi Indonesia

SEQUENTIAL EXTENDED KALMAN FILTER ON EEG EXTRACTION AND CLASSIFICATION Turnip, Arjon; Soetraprawata, Demi; Hariyadi, -; Kusumandari, Dwi Esti
Teknologi Indonesia Vol 36, No 1 (2013)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (16.051 KB) | DOI: 10.14203/jti.v36i1.195

Abstract

In this paper, a neural networks training based on Sequential Extended Kalman Filtering (SEKF) analysis for extraction and classifi cation of recorded EEG signal is proposed to improved feature extraction, classifi cation accuracy,and communication rate as well. The robustness of the SEKF against background noises has been evaluated by comparing the separation performance indices of the SEKF with well known algorithms (i.e., BPNN, JADE,and SOBI). A statistically signifi cant improvement was achieved with respect to the rates provided by raw data.
DESIGN OF AN ADAPTIVE INTELLIGENT CONTROLLER IN A SEMI-ACTIVE SUSPENSION SYSTEMS Turnip, Arjon; Soetraprawata, Demi; Hariyadi, -; Kusumandari, Dwi Esti
Teknologi Indonesia Vol 36, No 1 (2013)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (16.051 KB) | DOI: 10.14203/jti.v36i1.194

Abstract

In this paper, a semi-active control law consists of two tuneable parameters that are given as the function of the running conditions of the vehicle and an adaptive intelligent controller (AIC) is proposed to obtain the best compromise among confl icting performance indices pertaining to the vehicle suspension system. The proposed AIC method is developed based on the frequency regions. The obtained result indicates that a semi-active suspension system based AIC has a signifi cant potential in improving the ride comfort and the road holding.