Neural Network Based Time-delay Estimation for Nonlinear Dynamic Systems

نویسندگان

  • Yonghong Tan
  • Chun-Yi Su
  • Naz Karim
چکیده

The estimation for the nonlinear dynamic system with time-varying input timedelay is an important issue for system identification. In order to estimate the dynamics of the process, a dynamic neural network with external recurrent structure is applied to the modelling procedure. In the case where time-delay is time varying, a useful way is to develop on-line time-delay estimation mechanisms to track the input time-delay variation. In this paper, two schemes respectively called direct as well as indirect time-delay estimators are proposed. Finally, two numerical examples are illustrated for the test of the proposed methods. Copyright © 2002 IFAC

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تاریخ انتشار 2002