TY - GEN
T1 - Parsimonious Volterra System Identification
AU - Hojjatinia, Sarah
AU - Bekiroglu, Korkut
AU - Lagoa, Constantino M.
N1 - Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - In this paper, we aim at developing algorithms for sparse Volterra system identification when the system to be identified has infinite impulse response. Assuming that the impulse response is represented as a sum of exponentials and given input-output data, the problem of interest is to find the 'simplest' nonlinear Volterra model which is compatible with the a priori information and the collected data. By simplest, we mean the model whose impulse response has the least number of exponentials. The algorithms provided are able to handle both fragmented data and measurement noise. Academic examples at the end of paper show the efficacy of proposed approach.
AB - In this paper, we aim at developing algorithms for sparse Volterra system identification when the system to be identified has infinite impulse response. Assuming that the impulse response is represented as a sum of exponentials and given input-output data, the problem of interest is to find the 'simplest' nonlinear Volterra model which is compatible with the a priori information and the collected data. By simplest, we mean the model whose impulse response has the least number of exponentials. The algorithms provided are able to handle both fragmented data and measurement noise. Academic examples at the end of paper show the efficacy of proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=85052556959&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052556959&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8431084
DO - 10.23919/ACC.2018.8431084
M3 - Conference contribution
AN - SCOPUS:85052556959
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 1933
EP - 1938
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -