Publications related to A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

In this paper, a new method for fixed-order controller design of systems with polytopic uncertainty in their state space representation is proposed. The approach uses the strictly positive realness (SPRness) of some transfer functions, as a tool to decoupl ...

2013

Direct data-driven design of sparse controllers

Alireza Karimi

This paper deals with direct data-driven design of model-reference controllers whose number of parameters is constrained. Input-output (I/O) sparse controllers are introduced and proposed as an alternative to low-order controller tuning. The optimal I/O sp ...

IEEE2013

Gabor dual windows using convex optimization

Nathanaël Perraudin

Redundant Gabor frames admit an infinite number of dual frames, yet only the canonical dual Gabor system, con- structed from the minimal l2-norm dual window, is widely used. This window function however, might lack desirable properties, such as good time-f ...

2013

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

Alfred Rufer, Alireza Karimi, Behrooz Bahrani

This paper presents a vector control strategy for regulating the current of grid-tied voltage source converters (VSCs) in a rotating reference frame. The proposed approach is based on shaping the open-loop and closed-loop transfer matrices of the system. S ...

Institute of Electrical and Electronics Engineers2013

l0-deconvolution for compressive diffusion MRI

Jean-Philippe Thiran, Yves Wiaux, Alessandro Daducci, Anna Auria Rasclosa

Diffusion MRI is a well established imaging modality providing a powerful way to non-invasively probe the structure of the white matter. Despite the potential of the technique, the intrinsic long scan times of these sequences have hampered their use in cli ...

2013

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 solution to the flexible transmission benchmark by convex optimization

Alireza Karimi, Gorka Galdos Sanz de Galdeano

The flexible transmission benchmark was proposed in the European Journal of Control to evaluate some robust digital control approaches in 1995. With progress in convex optimization algorithms new methods for robust controller design are developed. A recent ...

SAGE Publications2012

A toolbox for robust PID controller tuning using convex optimization

Alireza Karimi, Vinicius De Oliveira, Mehdi Sadeghpour

A robust PID controller design toolbox for Matlab is presented in this paper. The design is based on linearizing or convexifying the conventional non-convex constraints on the classical robustness margins or H∞ constraints. Then the existing optimization s ...

2012

Regularized Bundle Methods for Convex and Non-Convex Risks

Machine learning is most often cast as an optimization problem. Ideally, one expects a convex objective function to rely on efficient convex optimizers with nice guarantees such as no local optima. Yet, non-convexity is very frequent in practice and it may ...

2012

An Efficient Method to Estimate the Suboptimality of Affine Controllers

Daniel Kuhn

We consider robust feedback control of time-varying, linear discrete-time systems operating over a finite horizon. For such systems, we consider the problem of designing robust causal controllers that minimize the expected value of a convex quadratic cost ...

Institute of Electrical and Electronics Engineers2011

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

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Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

Direct data-driven design of sparse controllers

Gabor dual windows using convex optimization

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

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

A toolbox for robust PID controller tuning using convex optimization

Regularized Bundle Methods for Convex and Non-Convex Risks

An Efficient Method to Estimate the Suboptimality of Affine Controllers

Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

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

l0-deconvolution for compressive diffusion MRI

An Efficient Method to Estimate the Suboptimality of Affine Controllers

Gabor dual windows using convex optimization

Direct data-driven design of sparse controllers

A solution to the flexible transmission benchmark by convex optimization

To Convexify or Not? Regression with Clustering Penalties on Graphs

A toolbox for robust PID controller tuning using convex optimization

Regularized Bundle Methods for Convex and Non-Convex Risks