Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 32B Issue 3
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- Pages.130-138
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- 1995
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- 1016-135X(pISSN)
Linear System Identification Using Multi-layer Neural Network
다층 신경회로망을 이용한 선형시스템의 식별
Abstract
In this paper, a Novel Approach is Proposed which Identifies linear system Parameters Using a multilayer feedforward neural network trained with backpropagation algorithm. The parameters of linear system can be represented by x9t)/x(t) and x(t)/u(t). Thud, its parameters can be represented in terms of the derivative of output with respect to input of parameters can be represented in terms of the derivative of output with respect to input of trained neural network which is a function of weights and output of neurons. Mathematical representation of the proposed approach is derived, and its validity is shown by simulation results on 2-layer and 3-layer neural network.
Keywords