This Letter suggests a new approach to generating chaos via dynamic neural
networks. This approach is based on a recently introduced methodology of in
verse optimal control for nonlinear systems. Both Chen's chaotic system and
Chua's circuit are used as examples for demonstration. The control law is
derived to force a dynamic neural network to reproduce the intended chaotic
attractors. Computer simulations are included for illustration and verific
ation.