Open AccessPerformance recovery of intelligent digital redesign for observer‐based output feedback under immeasurable premise variables
Author(s) -
Moon Ji Hyun,
Lee Ho Jae
Publication year - 2015
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2014.1152
Subject(s) - control theory (sociology) , delta operator , observer (physics) , controller (irrigation) , premise , trajectory , exponential stability , control engineering , stability theory , sampled data systems , digital control , stability (learning theory) , computer science , mathematics , control system , control (management) , engineering , artificial intelligence , extension (predicate logic) , philosophy , shift operator , compact operator , linguistics , biology , quantum mechanics , machine learning , agronomy , programming language , physics , nonlinear system , astronomy , electrical engineering
This study discusses an intelligent digital redesign (IDR) for observer‐based output‐feedback controllers in Takagi–Sugeno form under immeasurable premise variables. A delta operator that asymptotically connects an analogue control system with its discrete‐time model is adopted. The condition for the IDR problem with stability is proposed in terms of matrix inequality. The authors show that the proposed IDRed sampled‐data controller recovers the analogue control performance from the perspective of the closed‐loop trajectory under the fast sampling limit.