Abstract
Model reduction methods based on open-loop considerations often fail to preserve the closed-loop interaction characteristics of the original system they represent and therefore lead to unreliable controller design. A method is presented that addresses the interaction aspects of multivariable-system model reduction and provides insight into the reasons for the failure of previous methods. The method results in models with satisfactory responses both in the open-loop configuration and in the closed-loop configuration with prespecified controller structure.