Closed-loop system identification using OBF-ARMAX model

被引:0
|
作者
Tufa L.D. [1 ]
Ramasamy M. [1 ]
Shuhaimi M. [1 ]
机构
[1] Department of Chemical Engineering, Universiti Teknologi PETRONAS, Tronoh
关键词
ARMAX; Closed-loop identification; Orfhonormal basis filters;
D O I
10.3923/jas.2010.3175.3182
中图分类号
学科分类号
摘要
Closed-loop identification scheme using OBF-ARMAX model structure is presented. The proposed structure can be used to identify both open-loop stable and open-loop unstable processes that are stabilized by a feedback controller. The algorithm for estimating the model parameters and the formula for the multi-step ahead prediction are derived. The proposed identification scheme is demonstrated using two simulation case studies: One for open-loop stable and another for open-loop unstable. Both case studies demonstrate that the proposed scheme can be effectively used for closed-loop identification of both open-loop stable and open-loop unstable systems that are stabilized by a feedback control system. © 2010 Asian Network for Scientific Information.
引用
收藏
页码:3175 / 3182
页数:7
相关论文
共 50 条
  • [1] Informative Conditions for Identification of MISO ARMAX Model in Closed-loop Systems
    Yan, Wengang
    Zhu, Yucai
    IFAC PAPERSONLINE, 2018, 51 (15): : 455 - 460
  • [2] Closed-loop identification condition for ARMAX models using routine operating data
    Shardt, Yuri A. W.
    Huang, Biao
    AUTOMATICA, 2011, 47 (07) : 1534 - 1537
  • [3] A recursive algorithm for ARMAX model identification in closed loop
    Landau, ID
    Karimi, A
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (04) : 840 - 843
  • [4] Closed-loop identification of systems with uncertain time delays using ARX-OBF structure
    Tufa, Lemma D.
    Ramasamy, M.
    JOURNAL OF PROCESS CONTROL, 2011, 21 (08) : 1148 - 1154
  • [5] On closed-loop system identification using polyspectral analysis
    Tugnait, JK
    Zhou, Y
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 3417 - 3422
  • [6] IDENTIFICATION OF A CLOSED-LOOP STOCHASTIC SYSTEM
    VORCHIK, BG
    FETISOV, VN
    SHTEINBERG, SE
    AUTOMATION AND REMOTE CONTROL, 1973, 34 (07) : 1069 - 1081
  • [7] Closed-loop issues in system identification
    Van den Hof, P
    (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 1998, : 1547 - 1560
  • [8] Closed-Loop System Identification with Genetic Algorithms
    Whorton, Mark S.
    JOURNAL OF AEROSPACE COMPUTING INFORMATION AND COMMUNICATION, 2008, 5 (06): : 161 - 173
  • [9] On the Closed-Loop System Identification with Fractional Models
    Z. Yakoub
    M. Amairi
    M. Chetoui
    M. Aoun
    Circuits, Systems, and Signal Processing, 2015, 34 : 3833 - 3860
  • [10] PLANT IDENTIFICATION IN A STOCHASTIC CLOSED-LOOP SYSTEM
    VORCHIK, VG
    AUTOMATION AND REMOTE CONTROL, 1975, 36 (04) : 550 - 565