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   Data filtering based recursive least squares algorithm for two-input single-output systems with moving average noises  
   
نویسنده lu x. ,zhou w. ,shi w.
منبع journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
چکیده    This paper studies identification problems of two-input single-output controlled autoregressive moving average systems by using an estimated noise transfer function to filter the input-output data. through data filtering,we obtain two simple identification models,one containing the parameters of the system model and the other containing the parameters of the noise model. furthermore,we deduce a data filtering based recursive least squares method for estimating the parameters of these two identification models,respectively,by replacing the unmeasurable variables in the information vectors with their estimates. the proposed algorithm has high computational efficiency because the dimensions of its covariance matrices become small. the simulation results indicate that the proposed algorithm is effective. © 2014 xianling lu et al.
آدرس key laboratory of advanced process control for light industry,ministry of education,jiangnan university,wuxi 214122,china,school of internet of things engineering,jiangnan university, China, school of internet of things engineering,jiangnan university, China, school of internet of things engineering,jiangnan university, China
 
     
   
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