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2004 | 14 | 1 | 63-68
Tytuł artykułu

Time-varying time-delay estimation for nonlinear systems using neural networks

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nonlinear dynamic processes with time-varying time delays can often be encountered in industry. Time-delay estimation for nonlinear dynamic systems with time-varying time delays is an important issue for system identification. In order to estimate the dynamics of a process, a dynamic neural network with an external recurrent structure is applied in the modeling procedure. In the case where a delay is time varying, a useful way is to develop on-line time-delay estimation mechanisms to track the time-delay variation. In this paper, two schemes called direct and indirect time-delay estimators are proposed. The indirect time-delay estimator considers the procedure of time-delay estimation as a nonlinear programming problem. On the other hand, the direct time-delay estimation scheme applies a neural network to construct a time-delay estimator to track the time-varying time-delay. Finally, a numerical example is considered for testing the proposed methods.
Rocznik
Tom
14
Numer
1
Strony
63-68
Opis fizyczny
Daty
wydano
2004
otrzymano
2003-02-10
poprawiono
2003-04-16
(nieznana)
2004-01-26
Twórcy
autor
  • Laboratory of Intelligent Systems and Control Engineering, Guilin University of Electronic Technology, 541004 Guilin, China
Bibliografia
  • Balestrino A., Verona F. and Landi A. (1988): On-line process estimation by ANNs and Smith controller design. -IEE Proc., Pt. D. Contr. Theory Appl., Vol. 145, No. 2, pp. 231-235.
  • Ching P.C., So H.C. and Wu S.Q. (1999): On wavelet denoising and its applications to time delay estimation.- IEEE Trans. Signal Process., Vol. 47, No. 10, pp. 2879-2882.
  • Cybenko G. (1989): Approximation by superposition of a sigmoidal function. - Math. Contr. Signal Syst., Vol. 2, No. 4, pp. 303-314.
  • Lim T.J. and Macleod M.D. (1995): Adaptive algorithm for joint time-delay estimation and IIR filtering. -IEEE Trans. Signal Process., Vol. 43, No. 4, pp. 841-851.
  • Reed F., Feintuch P. and Bershad N. (1981): Time-delay estimation using the LMS adaptive filter-static behavior; dynamic behavior. - IEEE Trans. Acoust. Speech Signal Process., Vol. 29, No. 3, pp. 561-576.
  • Shor G. and Messer H. (1997): Performance evaluation of time-delay estimation in non-Gaussian conditions. - Proc. IEEE Signal Processing Workshop Higher-Order Statistics, Banff, Canada, pp. 20-24.
  • Teng F.C. and Sirisena H.R. (1988): Self-tuning PID controllers for dead time processes. - IEEE Trans. Ind. Electron., Vol. 35, No. 1, pp. 119-125.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv14i1p63bwm
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