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Author:

Li, K. (Li, K..) | Luo, H. (Luo, H..) | Jiang, Y. (Jiang, Y..) | Tang, D. (Tang, D..) | Yang, H. (Yang, H..)

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EI Scopus SCIE

Abstract:

This paper presents a subspace identification method for closed-loop systems with unknown deterministic disturbances. To deal with the unknown deterministic disturbances, two strategies are implemented to construct the row space that can be used to approximately represent the unknown deterministic disturbances using the trigonometric functions or Bernstein polynomials depending on whether the disturbance frequencies are known. For closed-loop identification, CCF-N4SID is extended to the case with unknown deterministic disturbances using the oblique projection. In addition, a proper Bernstein polynomial order can be determined using the Akaike information criterion (AIC) or the Bayesian information criterion (BIC). Numerical simulation results demonstrate the effectiveness of the proposed identification method for both periodic and aperiodic deterministic disturbances. IEEE

Keyword:

Standards Aerospace electronics State-space methods unknown deterministic disturbances closed-loop system Bernstein polynomial subspace identification Feedback control Noise measurement Estimation Closed loop systems

Author Community:

  • [ 1 ] [Li K.]Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
  • [ 2 ] [Luo H.]Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
  • [ 3 ] [Jiang Y.]Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
  • [ 4 ] [Tang D.]Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
  • [ 5 ] [Yang H.]Faculty of Information Technology, Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing 100124, China

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Source :

CAA Journal of Automatica Sinica

ISSN: 2329-9266

Year: 2023

Issue: 12

Volume: 10

Page: 1-10

1 1 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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