Abstract
In this paper, we present an array of new results that are aimed at broadening the scope of control design under information structure constraints. Both structural and algebraic enhancements of decentralized feedback will be considered, with convex optimization as a common mathematical framework. This approach leads to computationally efficient design strategies that are well suited for large-scale applications. In all cases, the obtained feedback laws guarantee robustness with respect to a wide range of nonlinear uncertainties, both within the subsystems and in the interconnections.
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