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Least-squares-based iterative identification algorithm for wiener nonlinear systems
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نویسنده
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zhou l. ,li x. ,pan f.
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منبع
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journal of applied mathematics - 2013 - دوره : 2013 - شماره : 0
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چکیده
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This paper focuses on the identification problem of wiener nonlinear systems. the application of the key-term separation principle provides a simplified form of the estimated parameter model. to solve the identification problem of wiener nonlinear systems with the unmeasurable variables in the information vector,the least-squares-based iterative algorithm is presented by replacing the unmeasurable variables in the information vector with their corresponding iterative estimates. the simulation results indicate that the proposed algorithm is effective. © 2013 lincheng zhou et al.
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آدرس
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key laboratory of advanced process control for light industry (ministry of education),jiangnan university, China, key laboratory of advanced process control for light industry (ministry of education),jiangnan university,wuxi 214122,china,jiangsu college of information technology, China, key laboratory of advanced process control for light industry (ministry of education),jiangnan university, China
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Authors
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