Abstract
This paper deals with stability analysis and control design problems for continuous-time Takagi-Sugeno (T-S) fuzzy systems. The first aim is to present less conservative linear matrix inequality (LMI) conditions to design controllers and assess the stability. The second relevant contribution is to present a new strategy to find an inner estimate of the domain of attraction (DA) via LMIs. The results are based on the fuzzy Lyapunov functions (FLFs) and non-parallel distributed compensation (non-PDC) approaches. Finally, examples illustrate the effectiveness and merits of the proposed methods.
Original language | English |
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Pages (from-to) | 230-248 |
Number of pages | 19 |
Journal | Information sciences |
Volume | 185 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2012 Feb 15 |
Bibliographical note
Funding Information:The authors would like to thank the Associate Editor and the anonymous Reviewers for their careful reading and constructive suggestions. This research was financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea(NRF) through the Human Resource Training Project for Regional Innovation.
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence