A Research about A MIMO System Identification Algorithm Based on ANN Using Slide Mode Variable Structure

摘要：

Applying sliding mode variable structure control to train neural networks is proposed in this paper, which can not only increases learning rate but also improves the stability of neural-network. Furthermore, this method helps to promote the generalization capacity of neural-network. In order to improve the generalization ability, two sliding mode objective functions are designed based on previous researches for a new neural-network learning algorithm. Simulation analysis shows that the proposed algorithm increases the generalization ability and robustness of neural-network, meanwhile, enhances the identification accuracy.

关键词： MIMO System Identification Sliding Mode Variable Structure Neural-Network Generalization Ability

作者: Yahui Wang Peixin Cheng Zhifeng Xia

作者单位: Department of Automation Engineering, Beijing University of Civil & Architecture Engineering, Beijin China Architecture Design&Research Group, Beijing 100044, China Beijing Forestry University, Beijing 100083, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3257-3262

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）