Worst-case optimality of smoothing algor
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Roberto Tempo
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Article
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1995
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Elsevier Science
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English
โ 439 KB
We study parametric identification of uncertain systems in a deterministic setting. We assume that the problem data and the linearly parameterized system model are given. In the presence of a priori information and norm-bounded noise, we design optimal worst-case algorithms. In particular, we study