System identification in the presence of nonlinear sensors

Shuichi Adachi, Yasushi Okada, Jan M. Maciejowski

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


We consider a system identification problem in which input and output signals are measured using sensors with static nonlinear characteristics, such as saturation, dead zone, and so on. A new system identification method which estimates the sensor errors due to nonlinearity, as well as system parameters, is proposed. the key idea is to formulate the identification problem as a constrained optimization problem. the system parameters are then estimated using a quasi-Newton method. Effectiveness of the proposed method is examined through numerical experiments.

Original languageEnglish
Pages (from-to)185-190
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Issue number12
Publication statusPublished - 2004
Externally publishedYes
Event2004 IFAC Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic Control Systems, PSYCO 2004 - Yokohama, Japan
Duration: 2004 Aug 302004 Sept 1


  • Constrained optimization problem
  • Modeling
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering


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