TY - JFULL AU - Helle Hein and Ülo Lepik PY - 2008/8/ TI - Regularization of the Trajectories of Dynamical Systems by Adjusting Parameters T2 - International Journal of Mathematical and Computational Sciences SP - 384 EP - 388 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/15984 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 19, 2008 N2 - 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. ER -