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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1027

Title: Simultaneous Control of Chaotic Systems Using RBF Networks
Authors: Castellanos, Angel
Gonzalo, Rafael
Martinez, Ana
Keywords: Neural Network
Radial Basis Function
Backpropagation
Chaotic Dynamic Systems
Control Feedback Methods
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Chaos control is a concept that recently acquiring more attention among the research community, concerning the fields of engineering, physics, chemistry, biology and mathematic. This paper presents a method to simultaneous control of deterministic chaos in several nonlinear dynamical systems. A radial basis function networks (RBFNs) has been used to control chaotic trajectories in the equilibrium points. Such neural network improves results, avoiding those problems that appear in other control methods, being also efficient dealing with a relatively small random dynamical noise.
URI: http://hdl.handle.net/10525/1027
ISSN: 1313-0455
Appears in Collections:Book 2 Advanced Research in Artificial Intelligence

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