Skip to main content

Generalized H2 suboptimally input-decoupled filtering

  • Chapter
Filtering Theory

Part of the book series: Systems & Control: Foundations & Applications ((SCFA))

  • 1382 Accesses

Abstract

In the previous chapters, we have studied EID, H2 AID, H AID, H2 OID, H2 SOID, as well as y-level H SOID filtering problems. These filtering problems are reconsidered in this chapter and the next with additional unknown input signals containing linear combination of sinusoidal signals, each of which has an unknown amplitude and phase but known frequency. We will use the qualifier “generalized” to refer to each of the above problems when such additional inputs are present. For instance, the H2 OID, H2 SOID, and y-level H∞ SOID filtering problems described above when additional sinusoidal inputs (of unknown amplitude and phase but known frequency) are present are, respectively, referred to as generalized H2 OID, generalized H2 SOID, and generalized y -level H SOID filtering problems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Birkhäuser Boston

About this chapter

Cite this chapter

(2007). Generalized H2 suboptimally input-decoupled filtering. 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_12

Download citation

  • DOI: https://doi.org/10.1007/978-0-8176-4564-9_12

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-0-8176-4301-0

  • Online ISBN: 978-0-8176-4564-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics