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Robust Stochastic Performance Optimization

In English

Författare

Summary, in English

The problem of finding the controller that optimizes the expected H2-norm of an uncertain system is solved in closed form for a class of problems including such signal processing applications as feedforward design, channel equalization, noise cancellation etc. The method uses covariance information on model uncertainty and does therefore match information obtainable from standard system identification. The optimal controller is found by using a spectral factorization to rewrite the problem as an H2-problem for an extended system. The article puts a restrictions on where uncertain parameters enter. The need for hard bounds on parameters can then be avoided. The method also avoids the conservativeness related to designing for worst cases.

Publiceringsår

1993

Språk

Engelska

Publikation/Tidskrift/Serie

IFAC Proceedings Volumes

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Conference name

12th IFAC World Congress

Conference date

1993-07-19

Conference place

Sydney, Australia

Status

Published