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This paper proposes a new method to chaotify the discrete-time fuzzy hyperbolic model (DFHM) with uncertain parameters. A simple nonlinear state feedback controller is designed for this purpose. By revised Marotto theorem, it is proven that the chaos generated by this controller satisfies the Li-Yorke definition. An example is presented to demonstrate the effectiveness of the approach.

In the present work, a new definition of multivariate Pade approximation of a given function which has a convergent power series form is introduced. This approximation is called multivariate perturbed Pade approximation. The error of the introduced approximation vanishes at some points in the square [0, 0.5]2. A comparison of the results obtained by our introduced approximation and the well-known Canterbury Approximation (proposed by J. Chisholm and his colleagues) is given.