Identification for Nonlinear System Described by Functional Expansion with Noisy Input and Output
نویسندگان
چکیده
منابع مشابه
Second-Order Volterra System Identification With Noisy Input-Output Measurements
System identification with noisy input–output measurements has been dominantly addressed through the optimization of the mean-squared-error criterion (MSE), especially in adaptive filtering. MSE is known to provide models that approximate the conditional expectation of the target output given the input; however, when the input signal is also contaminated by noise—a frequent occurrence—MSE yield...
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∗ Instituto de Ciencias Matemáticas, Universidad Autónoma de Madrid, 28049 Madrid, Spain, on leave from Old Dominion University, Norfolk, VA 23529 USA (e-mail: [email protected]) ∗∗ School of Engineering, Mercer University, Macon, GA 31207 USA (e-mail: thitsa [email protected]) ∗∗∗ School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250 USA (e-mail: erik.ve...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1990
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.26.167