Chaos reproduction by dynamic neural networks: an inverse optimal control approach
Edgar Nelson Sanchez, José P. Pérez, Guanrong Chen · 2002
In this paper, a new approach is developed for reproducing chaos by dynamic neural networks. The approach is based on a recently introduced methodology of inverse optimal control for nonlinear systems. Chen's chaotic system is used as an example for demonstration. The control law is derived to force a dynamic neural network to reproduce Chen's chaotic attractor. Computer simulation is shown for the purpose of illustration and verification.