Publications related to An Alternative to the Youla Parameterization for H infinity Controller Design

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

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

Ljubisa Miskovic

This paper addresses a question that has been posed to us:“Is it necessary to excite all reference signals for the identification of a multivariable system operating in closed loop with a linear time-invariant controller?” In this paper we follow a careful ...

2010

Frequency-domain controller design by linear programming

Marc Kunze

In this thesis, a new framework to design controllers in the frequency domain is proposed. The method is based on the shaping of the open-loop transfer function in the Nyquist diagram. A line representing a lower approximation for the crossover frequency a ...

EPFL2009

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

Correlation-Based Tuning of Decoupling Multivariable Controllers

Dominique Bonvin, Alireza Karimi, Ljubisa Miskovic

The iterative data-driven method labelled Correlation-based Tuning (CbT) is considered in this paper for the tuning of linear time-invariant multivariable controllers. The approach allows one to tune some elements of the controller transfer function matrix ...

2007

Noniterative Data-driven Controller Tuning Using the Correlation Approach

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

Data-driven controller tuning for model reference control problem is investigated. A new controller tuning scheme for linear time-invariant single- input single-output systems is proposed. The method, which is based on the correlation approach, uses a sing ...

2007

Gain-Scheduled Controller Design by Linear Programming

Alireza Karimi, Roland Longchamp, Marc Kunze

A linear programming approach is proposed to tune fixed-order linearly parameterized gain-scheduled controllers for stable SISO linear parameter varying (LPV) plants. The method is based on the shaping of the open-loop transfer functions in the Nyquist dia ...

2007

Controller complexity reduction for piecewise affine systems through safe region elimination

Colin Neil Jones, Melanie Nicole Zeilinger

We consider the class of piecewise affine optimal state feedback control laws applied to discrete-time piecewise affine systems, motivated by recent work on the computation of closed-form MPC controllers. The storage demand and complexity of these optimal ...

IEEE2007

Robust Loop Shaping Controller Design for Spectral Models by Quadratic Programming

Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano

A quadratic programming approach is proposed to tune fixed-order linearly parameterized controllers for stable LTI plants represented by spectral models. The method is based on the shaping of the open-loop or closed-loop frequency functions in the Nyquist ...

2007

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

An Alternative to the Youla Parameterization for H infinity Controller Design

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

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

Frequency-domain controller design by linear programming

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

Correlation-Based Tuning of Decoupling Multivariable Controllers

Noniterative Data-driven Controller Tuning Using the Correlation Approach

Gain-Scheduled Controller Design by Linear Programming

Controller complexity reduction for piecewise affine systems through safe region elimination

Robust Loop Shaping Controller Design for Spectral Models by Quadratic Programming

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel

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

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

Frequency-domain controller design by linear programming

Controller complexity reduction for piecewise affine systems through safe region elimination

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

Correlation-Based Tuning of Decoupling Multivariable Controllers

Noniterative Data-driven Controller Tuning Using the Correlation Approach

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel

Gain-Scheduled Controller Design by Linear Programming

Robust Loop Shaping Controller Design for Spectral Models by Quadratic Programming