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

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

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

Fixed-order SISO controller design for H∞ loop shaping method using frequency responses

Alireza Karimi

Robust control is used for a system with uncertainties and disturbances. Above all, the H∞ loop shaping method is known as the method achieving good control performance. However, this method takes much time to build the mathematical model of an actual plan ...

IEEE2015

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

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

Fixed-structure H-2 controller design for polytopic systems via LMIs

Alireza Karimi, Arash Sadeghzadeh

In this paper a new approach for fixed-structure H2 controller design in terms of solutions to a set of linear matrix inequalities are given. Both discrete- and continuous-time single-input single-output (SISO) time- invariant systems are considered. Then ...

Wiley-Blackwell2015

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

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

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Anastasios Kyrillidis

Many natural and man-made signals can be described as having a few degrees of freedom relative to their size due to natural parameterizations or constraints; examples include bandlimited signals, collections of signals observed from multiple viewpoints in ...

EPFL2014

PURIFY: a new approach to radio-interferometric imaging

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

In a recent article series, the authors have promoted convex optimization algorithms for radio-interferometric imaging in the framework of compressed sensing, which leverages sparsity regularization priors for the associated inverse problem and defines a m ...

Wiley-Blackwell2014

Convex Optimization for Big Data

Volkan Cevher

This article reviews recent advances in convex optimization algorithms for Big Data, which aim to reduce the computational, storage, and communications bottlenecks. We provide an overview of this emerging field, describe contemporary approximation techniqu ...

Institute of Electrical and Electronics Engineers2014

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

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

Fixed-order SISO controller design for H∞ loop shaping method using frequency responses

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

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

Fixed-structure H-2 controller design for polytopic systems via LMIs

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

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

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

PURIFY: a new approach to radio-interferometric imaging

Convex Optimization for Big Data

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

PURIFY: a new approach to radio-interferometric imaging

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

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

Fixed-order SISO controller design for H∞ loop shaping method using frequency responses

Fixed-structure H-2 controller design for polytopic systems via LMIs

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

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

Convex Optimization for Big Data

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