TY - JOUR
T1 - Recursive Identification of Fractional Time-Delay Systems Using Discrete-Time Model
AU - Higo, Toshiaki
AU - Kawaguchi, Takahiro
AU - Itamoto, Masaki
AU - Adachi, Shuichi
N1 - Publisher Copyright:
© 2018
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, a recursive identification method for fractional time-delay systems using a discrete-time model is proposed. The fractional time delay is a non-integer multiple of the sampling period for the discrete-time system. We describe the discretization of the fractional time-delay systems and propose a new formulation for system identification. Single-input, single-output systems are transformed to two-input, single-output systems: one transfer function represents system dynamics and the other represents the influence of the time delay. Then, we propose a new recursive identification method for fractional time-delay systems. Finally we verify the effectiveness of the proposed method through numerical examples.
AB - In this paper, a recursive identification method for fractional time-delay systems using a discrete-time model is proposed. The fractional time delay is a non-integer multiple of the sampling period for the discrete-time system. We describe the discretization of the fractional time-delay systems and propose a new formulation for system identification. Single-input, single-output systems are transformed to two-input, single-output systems: one transfer function represents system dynamics and the other represents the influence of the time delay. Then, we propose a new recursive identification method for fractional time-delay systems. Finally we verify the effectiveness of the proposed method through numerical examples.
KW - Discretization
KW - Fractional time delay
KW - Recursive identification
KW - Time-delay systems
UR - http://www.scopus.com/inward/record.url?scp=85054409554&partnerID=8YFLogxK
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U2 - 10.1016/j.ifacol.2018.09.073
DO - 10.1016/j.ifacol.2018.09.073
M3 - Article
AN - SCOPUS:85054409554
SN - 2405-8963
VL - 51
SP - 939
EP - 944
JO - 18th IFAC Symposium on System Identification SYSID 2018: Stockholm, Sweden, 9-11 July 2018
JF - 18th IFAC Symposium on System Identification SYSID 2018: Stockholm, Sweden, 9-11 July 2018
IS - 15
ER -