Theoretical justification of approximate norm minimization method for intelligent digital redesign

Do Wan Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

This paper investigates the theoretical justification of intelligent digital redesign (IDR) methods based on the approximate discrete-time models. Its main purpose is to design the digital fuzzy controller achieving the minimum norm distance between the trajectories of the approximate closed-loop systems under the analog and the digital controls. It is verified that, if there exist the digital gains such that the approximate norm distance is sufficiently small, the redesigned controller makes the trajectories of the exact closed-loop systems close, or, at least, asymptotically stabilizes the plant.

Original languageEnglish
Pages (from-to)851-856
Number of pages6
JournalAutomatica
Volume44
Issue number3
DOIs
Publication statusPublished - 2008 Mar 1

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Closed loop systems
Trajectories
Controllers

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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Theoretical justification of approximate norm minimization method for intelligent digital redesign. / Kim, Do Wan; Park, Jin Bae; Joo, Young Hoon.

In: Automatica, Vol. 44, No. 3, 01.03.2008, p. 851-856.

Research output: Contribution to journalArticle

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