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The consensus gain is determined by a convex optimization process with a given sub-optimal local gain.
MLR-GR optimizes the ranking errors and group Lasso loss by a convex optimization approach.
The existence condition of the controller can be expressed by a convex optimization problem.
The signal is then recovered by a convex optimization which ensures that the recovered signal is consistent with the measurements.
For a fixed FEC-based MDC, we show how this optimization can be approximated by a convex optimization problem with linear constraints, and thus, can be solved efficiently.
Each SISO loop is designed at a time, the controller parameters are computed by a convex optimization problem with constraints on stability margins.
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The noncausal filter Q q) and learning function L q) are simultaneously optimized by solving a convex optimization problem.
UEP is performed by variable FEC rates defined by solving a convex optimization problem.
Hence, we can find an unique global optimal solution by solving a convex optimization problem.
The solution to a (sub -optimal resub -optimalatoresidualen by solvingeneratorx optisization problem with the help of linear matrix inequalities (LMIs).
The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
More suggestions(19)
by a convex truth
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by a portfolio optimization
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by a convex lens
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by a convex camber
by a topology optimization
by a performance optimization
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