Model Reduction of Behavioral Systems

Carolyn Beck and John Doyle, EE, Caltech

We consider model reduction of uncertain behavioural models. Machinery for gap-metric model reduction and multidimensional model reduction using Linear Matrix Inequalities is extended to these behavioural models. The goal is a systematic method for reducing the complexity of uncertain components in hierarchically developed models which approximates the behavior of the full-order system. This paper focuses on component model reduction that preserves stability under interconnection.