Title :
Hamiltonian vector field for the Lorenz invariant set
Author :
Lozowski, Andrzej ; Komendarczyk, Rafal ; Zurada, Jacek M.
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
Abstract :
The existence of a Hamiltonian vector field in which trajectories of the invariant set Λ of a dissipative hyperbolic chaotic system are embedded, is proved. This evidence with an example concerning the Lorenz system is provided. Also, a constructive method of designing a Hamiltonian for the Lorenz attractor with a universal approximator is introduced. The present approach enables the use of universal approximator property of neural networks for modeling dynamics from the Hamiltonian perspective
Keywords :
function approximation; identification; neural nets; nonlinear dynamical systems; set theory; Hamiltonian vector field; Lorenz attractor; Lorenz invariant set; Lorenz system; hyperbolic chaotic system; identification; invariant set; neural networks; nonlinear dynamical systems; universal approximation; Chaotic communication; Design methodology; Differential equations; Lagrangian functions; Level set; Neural networks; Orbits; Oscillators; Physics; Zinc;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831528