Fuzzy Controller Design for Stochastic Takagi-Sugeno Fuzzy Model with External Disturbance Subject to Actuator Saturation and H-Infinity Performance Constraints

• Main Authors: Shih, Ying-Jie, 施英傑
• Other Authors: Chang, Wen-Jer
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/25458069893339163088

碩士 === 國立臺灣海洋大學 === 輪機工程學系 === 102 === In this thesis, a H-Infinity performance constrained fuzzy control approach is investigated for a class of nonlinear stochastic systems subject to actuator saturation. The nonlinear stochastic systems considered in this thesis are represented by Takagi-Sugeno fuzzy models with multiplicative noises. According to H-Infinity performance constraint and actuator saturation, it is shown that the stabilization of multiplicative noised Takagi-Sugeno fuzzy models can be formulated as a convex optimizationproblem subject to linear matrix inequalities. The proposed fuzzy control method is accomplished based on the Lyapunov stability theory Simulation study on a continuous-time nonlinear stochastic ship steering system is given to show the performances of the proposed H-Infinity performance constrained fuzzy control methodology. Keywords: Takagi-Sugeno Fuzzy Models, Multiplicative Noises, Actuator Saturation and Performance Constraint.