Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume 11, Issue 6, Pages 1075-1083Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-013-0093-x
Keywords
Intelligent digital redesign (IDR); linear matrix inequality (LMI); sampled-data fuzzy controller; state-matching error; Takagi-Sugeno (T-S) fuzzy model
Categories
Funding
- National Research Foundation of Korea (NRF)
- Korea government (MEST) [NRF-2012R1A2A2A01014088]
- Human Resources Development program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) [20124030200040]
- Korea government Ministry of Trade, Industry and Energy
- Korea Evaluation Institute of Industrial Technology (KEIT) [20124030200040] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2012R1A2A2A01014088] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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 sampled-data 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.
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