Modeling and robust control of active noise control systems

O. Kaiser, R. Pfiffner, M. V. Kothare, F. J. Kraus, C. Rhodes, M. Morari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to advances in digital electronics technology, active noise control (ANC) systems can be implemented to eliminate noise in a physical system, thus providing an alternative to strictly passive control methods. Two approaches to active noise control are robust and adaptive. In the work presented here, the robust control approach is applied to the design of a fixed linear controller for eliminating noise in a duct. The nominal model as well as the uncertainty description are derived by means of identification. A controller is designed, analyzed and tested in experiments.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages2355-3592
Number of pages1238
Volume3
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Other

OtherProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

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  • Cite this

    Kaiser, O., Pfiffner, R., Kothare, M. V., Kraus, F. J., Rhodes, C., & Morari, M. (1996). Modeling and robust control of active noise control systems. In Anon (Ed.), Proceedings of the IEEE Conference on Decision and Control (Vol. 3, pp. 2355-3592)