Application of Hybrid Taguchi-Genetic algorithm to fuzzy control system design

• Main Authors: Chung-Chieh Yeh, 葉鐘介
• Other Authors: Chun-Hsiung Fang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/55112087714790316212

碩士 === 國立高雄應用科技大學 === 電機工程系 === 99 === This thesis proposes a more relaxed stabilization condition for continuous time T-S fuzzy systems via the multiple Lyapunov function and the PDC controller and by using Hybrid Taguchi Genetic Algorithm to search optimization controller gain, the unknown controller gain is assumed as nonvariable lead to the nonlinear matrix inequalities into linear matrix inequalities. All stability conditions are represented in the form of linear matrix inequalities (LMIs). The proposed approach is simpler and more realizable in dealing the time derivatives of membership functions in comparison with existing literatures. The proposed idea is extended to investigate the problems of fuzzy control and robust tracking control. At the end of each subsection, practical examples are given to illustrate the effectiveness of the proposed approach..