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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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Yvette De Jesus,Garrett L. WalshNE is shown to possess the highest achievable breakdown point. A bound on the bias due to outliers is established and used to define a new policy for optimal experimental design aimed at providing a higher protection against outliers than conventional .-optimal design.
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Adaptive Approximation of Uncertainty Sets for Linear Regression Models,ivated by recent developments in the robust control field, where descriptions like hyperrectangular or polytopic domains have led to appealing stability and performance robustness properties of uncertain feedback systems.
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Ellipsoidal State Estimation for Uncertain Dynamical Systems,y, the technique described in this chapter is based on a theory of set-valued evolution equations with the ellipsoidal-valued functions formulating approximation of solutions in terms of set-valued calculus.
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advances in techniques and applications of boundingof the parameters, or state variables, of uncertain dynamical systems.Contributors explore the application of the bounding approach as analternative to the probabilistic analysis of such systems, relatingits importance to robust control-system desig
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