%0 Journal Article
	%A Helle Hein and  √úlo Lepik
	%D 2008
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 19, 2008
	%T Regularization of the Trajectories of Dynamical Systems by Adjusting Parameters
	%U https://publications.waset.org/pdf/15984
	%V 19
	%X A gradient learning method to regulate the trajectories
of some nonlinear chaotic systems is proposed. The method is
motivated by the gradient descent learning algorithms for neural
networks. It is based on two systems: dynamic optimization system
and system for finding sensitivities. Numerical results of several
examples are presented, which convincingly illustrate the efficiency
of the method.
	%P 385 - 388