Theoretical justification of approximate norm minimization method for intelligent digital redesign

Do Wan Kim; Jin Bae Park; Young Hoon Joo

doi:10.1016/j.automatica.2007.07.003

Theoretical justification of approximate norm minimization method for intelligent digital redesign

Do Wan Kim, Jin Bae Park, Young Hoon Joo

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

23 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 language	English
Pages (from-to)	851-856
Number of pages	6
Journal	Automatica
Volume	44
Issue number	3
DOIs	https://doi.org/10.1016/j.automatica.2007.07.003
Publication status	Published - 2008 Mar

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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Theoretical justification of approximate norm minimization method for intelligent digital redesign

Abstract

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