Infinite mode networks for bilateral motion control

In this paper, a novel multi input multi output network model entitled as rdquoinfinite mode networksrdquo is explained. The model proposes a challenging novel design concept. It has mathematically clear input output relationship compared to neural networks. This new model has a desired embedded internal function which roughly determines a route for the whole system to follow as DNA does for biological systems. By this model, infinitely many error dimensions can be defined and each error converges to zero in a stable manner. Additional to the network theory, an application on a haptic bilateral teleoperation system is shown.