On the information-based complexity of optimal reconstruction for nonlinear systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)161-167
Journal / PublicationSystems and Control Letters
Volume14
Issue number2
Publication statusPublished - Feb 1990
Externally publishedYes

Abstract

The information-based complexity of optimal reconstruction problems for general nonlinear systems is studied. Both lower and upper bounds for the worst-case reconstruction-error functional are given. The existence of an optimal reconstruction algorithm which achieves the infimum of the reconstruction-error is established. © 1990.

Research Area(s)

  • Information-based complexity, lower and upper error bouns, nonlinear systems, optimal algorithm, optimal reconstruction