Publications associées à A Data-Driven Approach to Power Converter Control via Convex Optimization

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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 Approach to Power Converter Control via Convex Optimization

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A Multivariable Design Methodology for Voltage Control of a Single-DG-Unit Microgrid

Gabor dual windows using convex optimization

Adaptive stochastic convex optimization over networks

Direct data-driven design of sparse controllers

l0-deconvolution for compressive diffusion MRI

To Convexify or Not? Regression with Clustering Penalties on Graphs

A solution to the flexible transmission benchmark by convex optimization

Regularized Bundle Methods for Convex and Non-Convex Risks

A toolbox for robust PID controller tuning using convex optimization

Data-driven model reference control with asymptotically guaranteed stability

Gabor dual windows using convex optimization

A solution to the flexible transmission benchmark by convex optimization

Regularized Bundle Methods for Convex and Non-Convex Risks

A toolbox for robust PID controller tuning using convex optimization

Direct data-driven design of sparse controllers

Data-driven model reference control with asymptotically guaranteed stability

Adaptive stochastic convex optimization over networks

To Convexify or Not? Regression with Clustering Penalties on Graphs

l0-deconvolution for compressive diffusion MRI

A Multivariable Design Methodology for Voltage Control of a Single-DG-Unit Microgrid