Application of adaptive lattice filters to internal model control

G. Nikolakopoulos, Antonios Tzes, Y. Koveos

Research output: Contribution to journalArticle

Abstract

An adaptive internal model control (IMC) framework is proposed in this article for infinite impulse response systems. The innovation in this study stems from the relaxed assumption that the controller needs to know a priori the system order. To bypass this restriction, a lattice filter identifies the system's order as well as its reflection coefficients. Within the IMC structure, a lattice-based controller is utilized in the forward path in cascade with a low-pass detuning filter. The controller self-configures its structure according to the estimated system order, while the filter's bandwidth increases as the identifier estimates more accurately the system dynamics.

Original languageEnglish (US)
Pages (from-to)569-589
Number of pages21
JournalInternational Journal of Adaptive Control and Signal Processing
Volume22
Issue number6
DOIs
StatePublished - Aug 1 2008

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Controllers
Low pass filters
Impulse response
Dynamical systems
Innovation
Bandwidth

Keywords

  • Adaptive lattice filter
  • Internal model control
  • Jump systems
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

Application of adaptive lattice filters to internal model control. / Nikolakopoulos, G.; Tzes, Antonios; Koveos, Y.

In: International Journal of Adaptive Control and Signal Processing, Vol. 22, No. 6, 01.08.2008, p. 569-589.

Research output: Contribution to journalArticle

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