A State Space Approach to Control of Interconnected Systems

We present a state space approach to controlling systems with a highly structured interconnection topology. It is shown that by capturing these systems as fractional transformations on temporal and spatial operators, many standard results in control — such as the bounded real lemma, H-infinity optimization, and robustness analysis — can be generalized accordingly. The state space formulation yields conditions that can be expressed as linear matrix inequalities.

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