Harmonic control of a planar complex using limited-path-guidance learning

This paper introduces the limited-path-guidance learning (LPG) method useful in achieving harmonic control for a planar complex. The LPG uses four a priori paths or trajectories in combination with a neural trained plant emulator (SI) to train a fuzzy controller. To test the performance of the LPG method, the trained fuzzy controller is applied to a planar complex which is required to follow a periodic orbit in phase plane. The simulations results show that the system can function well, given various testing conditions. The resulting planar model can be applied to real-life occasions, such as stability control of ship-building, and smoothness control of rocking chair design.