| Summary: | 碩士 === 國立臺灣海洋大學 === 輪機工程系 === 99 === Most physical systems in real world were suffered the external disturbance which makes the systems unstable or makes the systems stochastic. This thesis presents fuzzy controller design method for uncertain nonlinear stochastic systems. The uncertain nonlinear stochastic systems considered in this thesis are represented by discrete Takagi-Sugeno (T-S) fuzzy model with multiplicative noises. Besides, the uncertainties of the controlled system are considered for dealing with molding errors and varying parameters. In the real world, the states of dynamic systems may not be measured. Hence, the observer design problem is investigated in this thesis. The concept of Parallel Distributed Compensation (PDC) is employed in this thesis to construct the fuzzy controllers. Applying the Lyapunov theory and passivity theory, the sufficient stability conditions are derived in term of Linear Matrix Inequality (LMI). Finally, two simulation examples are proposed to show the effectiveness and applicability of this thesis.
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