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This paper provides the criterion for discussing stability analysis and synthesis of a class of complex nonlinear systems represented by Takagi–Sugeno fuzzy models with multiplicative noise. In the consequent part of the T–S fuzzy models, the Itô’s stochastic differential equations are introduced to represent the linear subsystems with multiplicative noise. Under the concept of imperfect premise matching,...
This paper presents the stabilization conditions for designing fuzzy controller of two-link arm robot via Linear Parameter Varying (LPV) Takagi-Sugeno (T-S) fuzzy models. With the movable supportive base, the stochastic behavior of concerned system is considered in this paper for investigating the real environment. As mentioned above, combining the LPV system with T-S fuzzy model can approximate better...
This paper deals with the control problem of nonlinear stochastic ship steering system. The system exhibits nonlinear interaction on three degrees of freedom (surge, sway and yaw) by means of main propellers aft of the ship. For guaranteeing the global stability, the Takagi-Sugeno (T-S) fuzzy model is employed to represent nonlinear ship steering system. Using the technique of Imperfect Premise Matching...
This paper presents the fuzzy controller design using Imperfect Premise Matching (IPM) for inverted pendulum robot system. With the movable supportive base, the inverted pendulum robot system can be applied to simulate human stance. Moreover, the Takagi-Sugeno (T-S) fuzzy model is employed to describe the complex nonlinearities of the system. And, the multiplicative noise term is introduced in the...
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