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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

Laboratoire d'automatique 1

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

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MATHICSE Technical Report : A certified reduced basis method for PDE-constrained parametric optimization problems by an adjoint-based approach

Gaussian Processes for System Identification, Control and Optimisation

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

A Model Predictive Control scheme with Ultimate Bound for Economic Optimization

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

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

Multirate sliding mode disturbance compensation for model predictive control

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

Gaussian Processes for System Identification, Control and Optimisation

The role of numerical integration in numerical homogenization

MATHICSE Technical Report : A certified reduced basis method for PDE-constrained parametric optimization problems by an adjoint-based approach

Distributed bounded-error state estimation based on practical robust positive invariance