Stochastic gradient algorithm for dual-rate sampled data nonlinear systems based on the missing outputs identification model

摘要：

　　This paper combines a missing outputs identification model with a stochastic gradient algorithm to estimate the parameters of dual-rate sampled data systems with a preload nonlinear input.A switching function is provided to turn the model of the nonlinear systems into an identification model.Based on the identification model,a missing outputs identification model is introduced to predict the unmeasurable outputs and a stochastic gradient algorithm is derived to identify the parameters of the identification model by all the inputs and all the outputs.The simulation results indicate that the proposed algorithm is effective.

关键词： Parameter estimation Missing outputs identification model Dual-rate system Stochastic gradient algorithm Nonlinear system

作者: CHEN Jing ZOU Hongfen

作者单位: Wuxi Professional College of Science and Technology,Wuxi 214028,PR China;School of Science,Jiangnan Wuxi Professional College of Science and Technology,Wuxi 214028,PR China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 6673-6677

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）