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Adaptive fuzzy generalized predictive control for a class of unknown parameters multivariable linear system

An adaptive fuzzy generalized predictive control scheme for a class of multivariable linear systems with unknown parameters is presented. With this scheme, the vector composed of fuzzy logic systems is used to design predictive controller directly, and the unknown vector in controller and the estimated value of approximation error are adjusted by time-varying adaptation laws. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin.