A neural network model reference adaptive control for the nonlinear system with unavailable outputs

Zeng Cheng; Zhao Baojun; He Peikun

Volume 25 Issue 5

May 2003

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Article Navigation > Journal of Electronics & Information Technology > 2003 > 25(5): 612-618

Zeng Cheng, Zhao Baojun, He Peikun. A neural network model reference adaptive control for the nonlinear system with unavailable outputs[J]. Journal of Electronics & Information Technology, 2003, 25(5): 612-618.

Citation:

Zeng Cheng, Zhao Baojun, He Peikun. A neural network model reference adaptive control for the nonlinear system with unavailable outputs[J]. Journal of Electronics & Information Technology, 2003, 25(5): 612-618.

Citation:

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A neural network model reference adaptive control for the nonlinear system with unavailable outputs

Received Date: 2001-10-26
Rev Recd Date: 2002-05-13
Publish Date: 2003-05-19

Abstract

Abstract

In this paper, by introducing an extended neural network model which can be easily identified on-line, a neural network model reference adaptive control method based on a feedforward-feedback structure is proposed for a class of nonlinear systems whose outputs are not measurable. A training algorithm with global convergence is offered, and the stability of the control system is analyzed. The simulation results show that this method is effective, anrl it has good robustness for both the selection of original network weights and the disturbance of plant parameters.

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References

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