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

International Journal of Applied Mathematics and Computer Science (2004)

- Volume: 14, Issue: 1, page 63-68
- ISSN: 1641-876X

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topTan, Yonghong. "Time-varying time-delay estimation for nonlinear systems using neural networks." International Journal of Applied Mathematics and Computer Science 14.1 (2004): 63-68. <http://eudml.org/doc/207680>.

@article{Tan2004,

abstract = {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.},

author = {Tan, Yonghong},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {estimation; neural networks; nonlinear systems; time delay; modelling},

language = {eng},

number = {1},

pages = {63-68},

title = {Time-varying time-delay estimation for nonlinear systems using neural networks},

url = {http://eudml.org/doc/207680},

volume = {14},

year = {2004},

}

TY - JOUR

AU - Tan, Yonghong

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

JO - International Journal of Applied Mathematics and Computer Science

PY - 2004

VL - 14

IS - 1

SP - 63

EP - 68

AB - 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.

LA - eng

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

UR - http://eudml.org/doc/207680

ER -

## References

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