TY - GEN
T1 - A Novel Recursive Linear Estimator Based on the Frisch Scheme
AU - Massaroli, Stefano
AU - Miyagusuku, Renato
AU - Califano, Federico
AU - Faragasso, Angela
AU - Yamashita, Atsushi
AU - Asama, Hajime
N1 - Publisher Copyright:
© 2019 JSME.
PY - 2019/6
Y1 - 2019/6
N2 - This paper proposes an innovative identification scheme to estimate parameters constituting linear relations in time-invariant systems: the bounding box recursive Frisch scheme. A novel recursive version of the Frisch scheme, a linear estimator characterised by mild prior assumptions in the error-in-variables (EIV) framework, has been derived. The fast computational time and convergence in the identification of linear systems are the most relevant feature of this recursive version of the scheme. The performance of the developed algorithm has been evaluated trough numerical simulations. Results proved the effectiveness and accuracy of the proposed solution.
AB - This paper proposes an innovative identification scheme to estimate parameters constituting linear relations in time-invariant systems: the bounding box recursive Frisch scheme. A novel recursive version of the Frisch scheme, a linear estimator characterised by mild prior assumptions in the error-in-variables (EIV) framework, has been derived. The fast computational time and convergence in the identification of linear systems are the most relevant feature of this recursive version of the scheme. The performance of the developed algorithm has been evaluated trough numerical simulations. Results proved the effectiveness and accuracy of the proposed solution.
UR - http://www.scopus.com/inward/record.url?scp=85069943009&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85069943009
T3 - 2019 12th Asian Control Conference, ASCC 2019
SP - 1101
EP - 1106
BT - 2019 12th Asian Control Conference, ASCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Asian Control Conference, ASCC 2019
Y2 - 9 June 2019 through 12 June 2019
ER -