TY - GEN
T1 - Intelligent digital control for nonlinear systems with multirate sampling
AU - Kim, Do Wan
AU - Park, Jin Bae
AU - Joo, Young Hoon
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - This paper studies an intelligent digital control for nonlinear systems with multirate sampling. It is worth noting that the multirate control design is addressed for a given nonlinear system represented by Takagi-Sugeno (T-S) fuzzy models. The main features of the proposed method are that it is provided that the sufficient conditions for stabilization of the discrete-time T-S fuzzy system derived by the fast discretization method in the sense of Lyapunov stability criterion, which is can be formulated in the linear matrix inequalities (LMIs).
AB - This paper studies an intelligent digital control for nonlinear systems with multirate sampling. It is worth noting that the multirate control design is addressed for a given nonlinear system represented by Takagi-Sugeno (T-S) fuzzy models. The main features of the proposed method are that it is provided that the sufficient conditions for stabilization of the discrete-time T-S fuzzy system derived by the fast discretization method in the sense of Lyapunov stability criterion, which is can be formulated in the linear matrix inequalities (LMIs).
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U2 - 10.1007/11539506_111
DO - 10.1007/11539506_111
M3 - Conference contribution
AN - SCOPUS:33749015995
SN - 9783540283126
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 886
EP - 889
BT - Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
PB - Springer Verlag
T2 - 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
Y2 - 27 August 2005 through 29 August 2005
ER -