TY - GEN
T1 - Segmented Polynomial Approximation for Controlled System Characteristic Estimation on Lightweight Edge Device
AU - Kim, Minsung
AU - Baek, Jongheon
AU - Jung, Jiwoong
AU - Kwon, Jisu
AU - Park, Daejin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - In a system that requires a fast response characteristic rather than an accurate response, the ability to respond quickly, even at the expense of accuracy, is beneficial to the system. In this paper, we propose the method that divides the data into several segments and estimates the linear equation of polynomial characteristic separately for each segment. As the smaller the size of segments, the reduced order of the polynomials to be estimated makes the smaller amount of calculation required. It minimizes the reduction in the accuracy of the estimated polynomial characteristic and completes the calculation faster than applying estimation to the entire data. The proposed method was implemented and evaluated on the target embedded board, and the result shows that the optimal segment size for the proposed polynomial approximation.
AB - In a system that requires a fast response characteristic rather than an accurate response, the ability to respond quickly, even at the expense of accuracy, is beneficial to the system. In this paper, we propose the method that divides the data into several segments and estimates the linear equation of polynomial characteristic separately for each segment. As the smaller the size of segments, the reduced order of the polynomials to be estimated makes the smaller amount of calculation required. It minimizes the reduction in the accuracy of the estimated polynomial characteristic and completes the calculation faster than applying estimation to the entire data. The proposed method was implemented and evaluated on the target embedded board, and the result shows that the optimal segment size for the proposed polynomial approximation.
KW - Dynamic characteristic
KW - Edge device
KW - Embedded system
KW - Polynomial approximation
UR - http://www.scopus.com/inward/record.url?scp=85098858204&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Asia49877.2020.9276901
DO - 10.1109/ICCE-Asia49877.2020.9276901
M3 - Conference contribution
AN - SCOPUS:85098858204
T3 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
BT - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Y2 - 1 November 2020 through 3 November 2020
ER -