Publications associées à Data-driven model reference control with asymptotically guaranteed stability

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Robust fixed-order H infinity Controller Design for Spectral Models by Convex Optimization

Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano

A new approach for robust fixed-order

H_\infty

controller design by convex optimization is proposed. Linear time-invariant single-input single-output systems represented by a finite set of complex values in the frequency domain are considered. It is show ...

IEEE2008

Data-driven model reference control with asymptotically guaranteed stability

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Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

Fixed-Order Robust Controller Design by Convex Optimization Using Spectral Models

Robust stability properties of soft constrained MPC

Closed-loop identication of MIMO systems: a new look at identifiability and experiment design

Frequency-domain controller design by linear programming

Data-driven controller validation

Data-driven controller tuning with integrated stability constraint

Robust fixed-order H infinity Controller Design for Spectral Models by Convex Optimization

Frequency Domain Controller Design by Linear Programming Guaranteeing Quadratic Stability

Model-Free Precompensator Tuning Based on the Correlation Approach

Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

Data-driven controller validation

Frequency Domain Controller Design by Linear Programming Guaranteeing Quadratic Stability

Model-Free Precompensator Tuning Based on the Correlation Approach

Frequency-domain controller design by linear programming

Fixed-Order Robust Controller Design by Convex Optimization Using Spectral Models

Robust stability properties of soft constrained MPC

Closed-loop identication of MIMO systems: a new look at identifiability and experiment design

Data-driven controller tuning with integrated stability constraint

Robust fixed-order H infinity Controller Design for Spectral Models by Convex Optimization