전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제33B권5호
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- Pages.1-9
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- 1996
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- 1016-135X(pISSN)
신경회로망을 이용한 선형/비선형 시스템의 식별과 적응 트래킹 제어
Linear/nonlinear system identification and adaptive tracking control using neural networks
초록
In this paper, a parameter identification method for a discrete-time linear system using multi-layer neural network is proposed. The parameters are identified with the combination of weights and the output of neuraons of a neural network, which can be used for a linear and a nonlinear controller. An adaptive output tracking architecture is designed for the linear controller. And, the nonlinear controller. A sliding mode control law is applied to the stabilizing the nonlinear controller such that output errors can be reduced. The effectiveness of the proposed control scheme is illustrated through simulations.
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