Linear Parameter-Varying Spectral Decomposition

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

337 Downloads (Pure)

Abstract

A linear parameter-varying (LPV) spectral decomposition method, based on least-squares estimation and kernel expansions, is developed. Statistical properties of the estimator are analyzed and verified in simulations. The method is linear in the parameters, applicable to both the analysis and modeling problems and is demonstrated on both simulated signals as well as measurements of the torque in an electrical motor.
Original languageEnglish
Title of host publicationAmerican Control Conference (ACC), 2017
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages146-151
DOIs
Publication statusPublished - 2017 Jul 3
Event2017 American Control Conference - Seattle, United States
Duration: 2017 May 242017 May 26
http://acc2017.a2c2.org/

Conference

Conference2017 American Control Conference
Abbreviated titleACC2017
Country/TerritoryUnited States
CitySeattle
Period2017/05/242017/05/26
Internet address

Subject classification (UKÄ)

  • Signal Processing

Free keywords

  • System Identification
  • Spectral Estimation
  • Spectral Decomposition
  • LPV-modeling

Fingerprint

Dive into the research topics of 'Linear Parameter-Varying Spectral Decomposition'. Together they form a unique fingerprint.

Cite this