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This paper presents a passive fuzzy controller design method for stabilizing the uncertain nonlinear stochastic inverted pendulum robot system. Through Takagi-Sugeno (T-S) fuzzy modeling approach, the complex nonlinear properties can be described by combining several linear sub-systems and determined membership functions. The Itô stochastic differential equation is employed to represent dynamics of...
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...
This paper presents the relaxed nonquadratic stabilization conditions for designing fuzzy controller of inverted pendulum robot system via Takagi-Sugeno (T-S) stochastic fuzzy models. With the movable supportive base, the inverted pendulum robot system is applied to simulate human stance. Besides, the stochastic behavior of concerned system is also considered in this paper for investigating the real...
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