Iterative approach to multivariable control

An iterative technique is proposed for the design of control inputs for linear multivariable systems. Using aggregation to reduce the problem size at each step, compensation can be accomplished in as few as N steps, where N is the controllability index of the system. For controllable systems, arbitrary pole placement is possible subject only to mild restrictions. Applications to deadbeat control and minimal-order observers are illustrated.