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).
| Original language | English |
|---|---|
| Pages (from-to) | 886-889 |
| Number of pages | 4 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3613 |
| Issue number | PART I |
| Publication status | Published - 2005 Oct 27 |
| Event | Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsha, China Duration: 2005 Aug 27 → 2005 Aug 29 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
Kim, D. W., Park, J. B., & Joo, Y. H. (2005). Intelligent digital control for nonlinear systems with multirate sampling. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3613(PART I), 886-889.