Abstract
In this paper, a novel intelligent digital redesign (IDR) technique using the guaranteed cost control method is proposed for nonlinear systems which can be represented by a Takagi-Sugeno (T-S) fuzzy model. The IDR technique, which is one of the sampled-data fuzzy controller design methods, guarantees not only the stability condition of the sampled-data closed-loop system with the sampleddata fuzzy controller and the state-matching error is presented. By using the concept of the guaranteed cost control method, sufficient conditions are obtained for both minimization of the state-matching error and stabilization of the sampled-data closed-loop system and derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is provided to verify the effectiveness of the proposed technique.
| Original language | English |
|---|---|
| Pages (from-to) | 1075-1083 |
| Number of pages | 9 |
| Journal | International Journal of Control, Automation and Systems |
| Volume | 11 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2013 Dec |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2012R1A2A2A01014088) by the Human Resources Development program (No. 20124030200040) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Trade, Industry and Energy.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications