Global stabilization via sampled-data output feedback for large-scale systems interconnected by inherent nonlinearities

Abstract This paper aims to solve the decentralized sampled-data control problem for a class of large-scale systems interconnected by inherent nonlinearities, which violate the linear growth condition. Under a homogeneous growth condition, a set of decentralized sampled-data output feedback controllers are constructed with scaling gains and a sampling period. By the output feedback domination approach, the scaling gains are firstly correlated and then selected to dominate the nonlinearities. Finally, by developing and applying a useful tool to estimate trajectory growth, global stabilization is achieved for the closed-loop system under an appropriate sampling period.

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