Neural-fuzzy based control experiments on a shape memory alloy (SMA) positioning system

This work reports the result of control experiments on a positioning system comprising of four SMA wires linking together in a 2-dimensional plane. Performance of using neural-fuzzy algorithms of ANFIS, GNN and reduced GNN for control are presented and shown to be quite acceptable given the simplicity of their application.