Titlebook: Bounding Approaches to System Identification; Mario Milanese,John Norton,éric Walter Book 1996 Springer Science+Business Media New York 19

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The Dead Zone in System Identification,A prediction error method for parameter estimation in a dynamical system is studied..where ε are the prediction errors of a linear regression. A quadratic norm . is zero within an interval [.]. This kind of a dead zone (.) criterion is very common in robust adaptive control. The following problems are treated in this chapter:

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Worst-Case ,, Identification,aluation of the identification errors, the design of experiment, the selection of the model structure, the construction of optimal and almost optimal algorithms, and the convergence properties of the identification algorithms.

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Surgical Treatment of Lung Cancer,aluation of the identification errors, the design of experiment, the selection of the model structure, the construction of optimal and almost optimal algorithms, and the convergence properties of the identification algorithms.