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.

Keywords: Neural Network, Radial basis function, Backpropagation, Chaotic Dynamic Systems, Control Feedback Methods.

ACM Classification Keywords: F.1.1 Models of Computation: Self-modifying machines (neural networks); F.1.2 Modes of Computation: Alternation and nondeterminism; G.1.7 Ordinary Differential Equations: Chaotic systems;

Link:

SIMULTANEOUS CONTROL OF CHAOTIC SYSTEMS USING RBF NETWORKS

Angel Castellanos, Rafael Gonzalo, Ana Martinez

http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p04.pdf