Auxiliary model based multi-innovation stochastic gradient identification for multirate multi-input systems

摘要：

The multirate multi-input systems have different updating periods and sampling periods such that the traditional identification algorithms cannot be used to identify such multirate systems. By using the auxiliary model identi.cation idea, the multi-innovation stochastic gradient algorithm is developed to estimate the parameters of multirate systems. Finally, an illustrative example is given to verify the effectiveness of the proposed algorithm.

关键词： Parameter estimation Multirate systems Multi-innovation identification Auxiliary model

作者: Lili Han Jie Ding Feng Ding

作者单位: Control Science and Engineering Research Center, Jiangnan University, Wuxi, China 214122

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 619-623

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）