Publications associées à Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

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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

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

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

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Designing Gabor windows using convex optimization

Robust Tracking Commitment

Combinatorial Penalties: Which structures are preserved by convex relaxations?

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

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

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