Abstract
Chapter 8 considers almost input-decoupled (AID) filtering problems under white noise input with a known power spectral density (PSD). The objective of Chapter 8 is to check whether it is possible to make the impact of the unknown input on the asymptotic error arbitrarily small. Under white noise input with a known PSD, whenever the performance measure is the RMS norm of the error signal, such an objective translates to an objective of reducing the H2 norm of the transfer function from the unknown input to the error signal.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Birkhäuser Boston
About this chapter
Cite this chapter
(2007). Almost input-decoupled filtering without statistical assumptions on input. In: Saberi, A., Stoorvogel, A.A., Sannuti, P. (eds) Filtering Theory. Systems & Control: Foundations & Applications. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4564-9_9
Download citation
DOI: https://doi.org/10.1007/978-0-8176-4564-9_9
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4301-0
Online ISBN: 978-0-8176-4564-9
eBook Packages: EngineeringEngineering (R0)