Neural Network Radial Basis Function Backpropagation Chaotic Dynamic Systems Control Feedback Methods
Institute of Information Theories and Applications FOI ITHEA
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.