%0 Journal Article %A Helle Hein and Ülo 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