제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2005년도 ICCAS
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- Pages.994-998
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- 2005
Identification and Control for Nonlinear Discrete Time Systems Using an Interconnected Neural Network
- Yamamoto, Yoshihiro (Dep. of Information and Knowledge Engineering, Tottori University)
- 발행 : 2005.06.02
초록
A new control method, called a simple model matching, has been recently developed by the author. This is very simple and be applied for linear and nonlinear discrete time systems with/without time lag. Based on this formulation, identification is examined in this paper using an interconnected neural network with the EBP-EWLS learning algorithm. With this result, a control method is also presented for a nonlinear discrete time system.
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