Publications related to A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

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

This thesis proposes a new method to design fixed-order controllers in frequency domain using convex optimization. The method is based on the shaping of open-loop transfer function in the Nyquist diagram with infinity norm constraints on weighted closed-lo ...

EPFL2010

Fixed-order H-infinity Controller Design for Nonparametric Models by Convex Optimization

Alireza Karimi, Gorka Galdos Sanz de Galdeano

A new approach for robust fixed-order H-infinity controller design by convex optimization is proposed. Linear time-invariant single-input single-output systems represented by nonparametric models in the frequency domain are considered. It is shown that the ...

2010

H-infinity Controller Design for Spectral MIMO Models by Convex Optimization

Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano

A recent method for robust fixed-order H-infinty controller design by convex optimization proposed in [1] is investigated in this paper for the tuning of multivariable controllers. Linear Time-Invariant Multi-Input Multi-Output (LTI-MIMO) systems represent ...

2009

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

Principe d'alimentation par convertisseurs multiniveaux à stockage intégré

Claude Fahrni

Facilities operating in cycles, such as particles accelerators, require pulsed power. Directly drawing this pulsed power from the industrial network is generally not acceptable. A system with a local energy storage system lessens the impact on the network. ...

EPFL2008

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel

Daniel Garcia

This work considers the adjustment of proportional-integral-derivative (PID) controllers. Because of their very simple structures, this kind of controllers are very appreciated, and used abundantly by the industrial community. The restricted number of the ...

EPFL2006

On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers

Dominique Bonvin, Alireza Karimi, Ljubisa Miskovic

An iterative data-driven correlation-based method has been proposed recently to tune multivariable linear time-invariant controllers in closed-loop operation. In this contribution, the preferred way of exciting a 2 × 2 system is investigated via the accura ...

2006

Robust Predictive Control Based on Neighboring Extremals

Dominique Bonvin, Sébastien Gros

The performance of predictive controller is typically poor when the true plant evolution deviates significantly from that predicted by the model. A robust approach that considers model uncertainty explicitly is then needed. However, it is often difficult t ...

2004

A robust scheme for cellular power control

Ali H. Sayed

In this paper, we propose a robust filtering approach to distributed power allocation. A robust filter is used to predict the channel gain and interference under incomplete knowledge of the shadowing coefficient. Simulation results show the superior perfor ...

2003

Frequency response identification of the dynamics of a Tokamak plasma

Jonathan Bryan Lister

In this paper we describe the application of an H-infinity system identification procedure to a Tokamak. The work is motivated by the need to create linear models which are suitable for controller design and which may be used to validate different models d ...

2000

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

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

Fixed-order H-infinity Controller Design for Nonparametric Models by Convex Optimization

H-infinity Controller Design for Spectral MIMO Models by Convex Optimization

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

Principe d'alimentation par convertisseurs multiniveaux à stockage intégré

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel

On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers

Robust Predictive Control Based on Neighboring Extremals

A robust scheme for cellular power control

Frequency response identification of the dynamics of a Tokamak plasma

Principe d'alimentation par convertisseurs multiniveaux à stockage intégré

Fixed-order H-infinity Controller Design for Nonparametric Models by Convex Optimization

Frequency response identification of the dynamics of a Tokamak plasma

H-infinity Controller Design for Spectral MIMO Models by Convex Optimization

A robust scheme for cellular power control

Robust Predictive Control Based on Neighboring Extremals

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

On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers

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

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel