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- W2765731454 abstract "Matrix optimization problems that contain one or more non-convex quadratic matrix constraints are considered. An iterative solving method is proposed; at each iteration convex matrix subproblem is formulated and solved using standard Convex Optimization algorithms. Global convergence of the method is proven. Implementation of the method is especially simple if non-convex matrix constraints are concave. The method is applied for solving long-standing problem of the H∞ design with additional sparsity constraint or objective on the controller." @default.
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- W2765731454 date "2017-07-01" @default.
- W2765731454 modified "2023-09-25" @default.
- W2765731454 title "Optimization under non-convex Quadratic Matrix Inequality constraints with application to design of optimal sparse controller" @default.
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- W2765731454 doi "https://doi.org/10.1016/j.ifacol.2017.08.2276" @default.
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