A very interesting recent development in chaos theory is the control of chaos [14,16,40]. Traditional methods of control theory could be shown to potentially lead to chaotic solutions as a result of the effort to control the system to go to a stable state. A control force that has too large of a feedback delay, could try to control the system to a state that has changed due to the dynamics. The result is an overshooting that could lead to chaotic oscillations [11]. Instead of attempting to force the system to the desired state, one can use the information about the geometrical structure of the attractor of the system to drive the system close to a stable manifold of the goal state. Then the internal dynamics will assist in bringing the system closer to the desired state [46]. A different approach that is based on the principle of matching takes advantage of the stable domains of chaotic systems: A nonlinear dynamical system will respond extremely sensitive to a control force which is close to its own intrinsic dynamics (nonlinear resonance). If the system is perturbed with such a resonant force while it is in a stable domain then this form of open loop control can be very effective [17]. Simulations show how extremely small forces can drive the system from one attractor to a more desired one.