TY - JOUR
T1 - Theoretical justification of approximate norm minimization method for intelligent digital redesign
AU - Kim, Do Wan
AU - Park, Jin Bae
AU - Joo, Young Hoon
PY - 2008/3
Y1 - 2008/3
N2 - 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.
AB - 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.
KW - Approximate discrete-time models
KW - Digital fuzzy control systems
KW - Intelligent digital redesign (IDR)
KW - Norm minimization
KW - Sampled-data fuzzy control systems
KW - Stability
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U2 - 10.1016/j.automatica.2007.07.003
DO - 10.1016/j.automatica.2007.07.003
M3 - Article
AN - SCOPUS:39549113859
SN - 0005-1098
VL - 44
SP - 851
EP - 856
JO - Automatica
JF - Automatica
IS - 3
ER -