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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

Analyse convexe

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On the influence of momentum acceleration on online learning

Fixed-structure Control of LTI Systems with Polytopic-type Uncertainty

Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

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

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

Structure Tensor Total Variation

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

Composite convex minimization involving self-concordant-like cost functions

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

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

Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

Composite convex minimization involving self-concordant-like cost functions

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

On the influence of momentum acceleration on online learning

Fixed-structure Control of LTI Systems with Polytopic-type Uncertainty

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

Structure Tensor Total Variation

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