Abstract
In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 724-732 |
| Number of pages | 9 |
| Journal | Journal of Electrical Engineering and Technology |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2016 May |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Cite this
Koo, G. B., Park, J. B., & Joo, Y. H. (2016). Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems. Journal of Electrical Engineering and Technology, 11(3), 724-732. https://doi.org/10.5370/JEET.2016.11.3.724