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

Auxiliary model based multi-innovation stochastic gradient i...

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2010 Chinese Control and Decision Conference

作者： Lili Han,Jie Ding,Feng Ding Control Science and Engineering Research Center,Jiangnan University,Wuxi,China 214122

＜正＞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 *** using the auxiliary model identification idea,the multi-innovation stochastic gradient algorithm is developed to estimate the parameters of multirate ***,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

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Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models

Gradient-based and multi-innovation gradient-based iterative...

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第40届中国控制会议

作者： Junwei Wang Yan Ji Haibo Liu College of Automation and Electronic Engineering Qingdao University of Science and Technology

This study presents the parameter estimation of single diode photovoltaic cell models. To identify parameters more simply and effectively, a gradient-based iterative identification algorithm and a multi-innovation gradient-based iterative identification algorithm are proposed for single-diode photovoltaic cell models by using the negative gradient search and the multiinnovation identification theory. Finally, the scheme is analyzed through a large number of statistical analysis results, and it shows the effectiveness of the proposed algorithms.

关键词： Parameter estimation Photovoltaic cell Iterative identification Gradient search multi-innovation identification

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identification and control of Sandwich system with backlash

Identification and control of Sandwich system with backlash

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第36届中国控制会议

作者： Linwei Li Xuemei Ren Minlin Wang Yongfeng Lv School of Automation Beijing Institute of Technology

ISBN: (纸本)9781538629185

The identification and control of Sandwich systems are surveyed for the systems which involve backlash nonlinearity. The focus is made on the way of constructing the identification model and the convergence rate of the identification algorithm. Based on a parameterization of backlash, the Sandwich system with backlash is constructed as a regression model in which the backlash parameter and linear subsystems parameters are separated by using the key-term separation principle. In order to improve the convergence rate, a multi-innovation least squares algorithm is applied to identify the parameter of the regression equation by modifying the scalar single innovation as multi-innovation matrix. Finally, a traditional PID controller achieves a reference signal tracking based on the result of the parameter estimation.

关键词： multi-innovation identification PID Sandwich system Backlash the key-term separation principle

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An Auxiliary Model Based multi-innovation Recursive Least Squares Estimation Algorithms for MIMO Hammerstein System

An Auxiliary Model Based Multi-innovation Recursive Least Sq...

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第三十届中国控制会议

作者： WANG Xiuping~1,CHEN Jing~(1,2) 1.Wuxi Professional College of Science and Technology,Wuxi,214028,P.R.China 2.school of IoT Engineering,Jiangnan University,Wuxi,214122,P.R.China

＜正＞An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this *** unknown variables in the information vector can be estimated by using the auxiliary *** proposed recursive least squares algorithm uses not only the current innovation but also the past innovations at each recursion and thus the parameter estimation accuracy can be ***,the simulation results indicate that the proposed algorithm has good performances.

关键词： Parameter estimation Least squares Auxiliary model identification multi-innovation identification multi-input multi-output systems

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