This paper is concerned with the stability and the stabilization problem for Takagi-Sugeno (T-S) fuzzy systems with neutral time delays. The sufficient stability conditions are derived using novel Lyapunov-Krasovskii functionals (LKFs). The stability conditions are expressed as linear matrix inequalities (LMIs) and hence easily tractable numerically. These conditions are easily extended to the sufficient conditions for the existence of stabilizing state-feedback fuzzy gains for T-S fuzzy neutral systems with time-varying delays. An example is given to illustrate the effectiveness of the proposed methods.
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2012R1A2A2A01014088) and the Human Resources Development program (No. 20124030200040/2) 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
- Mechanical Engineering
- Artificial Intelligence