Design method of neural networks for limit cycle generator

A design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, the limit cycle generator is designed by analog neural networks and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator