제어로봇시스템학회:학술대회논문집
- 2005.06a
- /
- Pages.994-998
- /
- 2005
Identification and Control for Nonlinear Discrete Time Systems Using an Interconnected Neural Network
- Yamamoto, Yoshihiro (Dep. of Information and Knowledge Engineering, Tottori University)
- Published : 2005.06.02
Abstract
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.
Keywords
- Identification;
- Simple model matching;
- Interconnected neural network;
- Nonlinear discrete time system