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

• Autorzy: Yonghong Tan
• 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.

Słowa kluczowe

EN

estimation; neural networks; nonlinear systems; time delay; modelling

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2004
• Tom: 14
• Numer: 1
• Strony: 63-68

Daty

wydano

2004

otrzymano

2003-02-10

poprawiono

2003-04-16

(nieznana)

2004-01-26

Twórcy

autor

Yonghong Tan

• Laboratory of Intelligent Systems and Control Engineering, Guilin University of Electronic Technology, 541004 Guilin, China

Bibliografia

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