The use of simple control architecture with linear feedback controllers can do a lot to stabilize complex dynamic systems like a helicopter in stationary flight, although the real challenge comes with the difference in time scales in the real world. Neural networks, on the other hand, learn to tile the space, enabling them to do more complex tasks, compared to linear controllers or finite state machines.