Intelligent digital control for nonlinear systems with multirate sampling

Authors:
Do Wan Kim;Jin Bae Park;Young Hoon Joo
Affiliations:
Yonsei University, Seodaemun-gu, Seoul, Korea;Yonsei University, Seodaemun-gu, Seoul, Korea;Kunsan National University, Kunsan, Chunbuk, Korea
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

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).