Identification of discrete linear system in state space form using neural network

被引：0
|
作者：
Wang, D [1 ]
Zilouchian, A [1 ]
机构：
[1] Florida Atlantic Univ, Dept Elect Engn, Boca Raton, FL 33431 USA
来源：
ICCDCS 98: PROCEEDINGS OF THE 1998 SECOND IEEE INTERNATIONAL CARACAS CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS | 1998年
关键词：
D O I：
10.1109/ICCDCS.1998.705860
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel supervised recurrent neural network architecture for identification of discrete linear system is introduced. The proposed neural network architecture directly provides the state space parameters of a given system based upon input-output data available. The simulation experiments demonstrate the effectiveness of the proposed method for both single input single output (SISO) and multiinput multi-output (MIMO) systems.
引用
收藏
页码：338 / 342
页数：5
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