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

Combinatorial Penalties: Which structures are preserved by convex relaxations?

We consider the homogeneous and the non-homogeneous convex relaxations for combinatorial penalty functions defined on support sets. Our study identifies key differences in the tightness of the resulting relaxations through the notion of the lower combinato ...

2017

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications

Amir Aminifar

With cyber-physical systems opening to the outside world, security can no longer be considered a secondary issue. One of the key aspects in security of cyber-phyiscal systems is to deal with intrusions. In this paper, we highlight the several unique proper ...

Assoc Computing Machinery2016

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

Federico Negri

In this paper, we propose a model order reduction framework for parametrized quadratic optimization problems constrained by nonlinear stationary PDEs. Once the solutions of the optimization problem are characterized as the solutions of the corresponding op ...

MATHICSE2015

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contribut ...

2015

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

Alireza Karimi, Achille Nicoletti, Vinicius De Oliveira

A new method for robust fixed-order H∞ controller design for uncertain time-delay systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linearly para ...

Springer2015

Design of a Switching Controller for Adaptive Disturbance Attenuation with Guaranteed Stability

Alireza Karimi

In this paper, a new algorithm is proposed for the design of a family of controllers to be used within an adaptive switching control scheme. The resulting switching controller is able to attenuate the effects of disturbances having uncertain and possibly t ...

2015

Fixed-order decentralized/distributed control of islanded inverter-interfaced microgrids

Alireza Karimi, Mahdieh Sadat Sad Abadi

This paper focuses on the problem of voltage control of islanded inverter-interfaced microgrids consisting of several distributed generation (DG) units with radial structure. The main objectives are to (i) design a decentralized/distributed voltage control ...

Elsevier2015

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Jean-Philippe Thiran, Yves Wiaux, Erick Jorge Canales Rodriguez, Alessandro Daducci, Anna Auria Rasclosa, Tim Bjørn Dyrby

Mapping the local microstructure properties of the tissue in the brain is crucial to understand any pathological condition from a biological perspective. In recent years, microstructure-imaging techniques aimed at extracting such precious information by us ...

2015

Disparity and Optical Flow Partitioning Using Extended Potts Priors

Martin Kurt Storath

This paper addresses the problems of disparity and optical flow partitioning based on the brightness invariance assumption. We investigate new variational approaches to these problems with Potts priors and possibly box constraints. For the optical flow par ...

IMA2015

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

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Combinatorial Penalties: Which structures are preserved by convex relaxations?

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

Design of a Switching Controller for Adaptive Disturbance Attenuation with Guaranteed Stability

Fixed-order decentralized/distributed control of islanded inverter-interfaced microgrids

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Disparity and Optical Flow Partitioning Using Extended Potts Priors

Design of a Switching Controller for Adaptive Disturbance Attenuation with Guaranteed Stability

Disparity and Optical Flow Partitioning Using Extended Potts Priors

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications

Combinatorial Penalties: Which structures are preserved by convex relaxations?

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

Fixed-order decentralized/distributed control of islanded inverter-interfaced microgrids