Publications associées à A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

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To Convexify or Not? Regression with Clustering Penalties on Graphs

Volkan Cevher, Luca Baldassarre, Marwa El Halabi

We consider minimization problems that are compositions of convex functions of a vector

\x \in\reals^N

with submodular set functions of its support (i.e., indices of the non-zero coefficients of

\x

). Such problems are in general difficult for large

N

...

IEEE2013

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

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Non-convex optimization for robust multi-view imaging

Non-convex optimization for robust multi-view imaging

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To Convexify or Not? Regression with Clustering Penalties on Graphs

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Non-convex optimization for robust multi-view imaging

Non-convex optimization for robust multi-view imaging

Convex computation of the region of attraction of polynomial control systems

Direct data-driven design of sparse controllers

Gabor dual windows using convex optimization

Multivariable Control of Single-Inductor Dual-Output Buck Converters

To Convexify or Not? Regression with Clustering Penalties on Graphs

A solution to the flexible transmission benchmark by convex optimization

Decoupled dq-Current Control of Grid-Tied Voltage Source Converters Using Nonparametric Models

l0-deconvolution for compressive diffusion MRI