2006 | OriginalPaper | Chapter
Some Applications of Fuzzy Dynamic Models with Chaotic Properties
Author : Alexander Sokolov
Published in: Integration of Fuzzy Logic and Chaos Theory
Publisher: Springer Berlin Heidelberg
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In this paper an approach to recording and restoring of information is proposed. For this purpose the method for recording and information storing of nonlinear dynamic system trajectories is used. Such systems are based on Takagi—Sugeno recurrent models. Principles of recording, which allow us to reconstruct an arbitrary piece of the bit series, are proposed. Another application belongs to modeling of weak-formalized systems such as economic dynamic processes. We propose to consider the models of multiproject systems as a net of Mamdani rule-based recurrent models. The described approaches are implemented in a Matlab software environment. We investigate the chaotic properties of Mamdani recurrent rule bases as well. The result of investigation of the proposed algorithms are given and analyzed.