Publications related to Iterative Correlation-Based Controller Tuning

H-Infinity Gain-Scheduled Controller Design for Rejection of Time-Varying Disturbances with Application to an Active Suspension System

A new method for H-infinity gain-scheduled controller design by convex optimization is proposed that uses only frequency-domain data. The method is based on loop shaping in the Nyquist diagram with constraints on the weighted infinity norm of closed-loop t ...

2013

H infinity Gain-scheduled Controller Design for Rejection of Time-varying Narrow-band Disturbances Applied to a Benchmark Problem

Alireza Karimi, Zlatko Emedi

A new method for H-infinity gain-scheduled controller design by convex optimization is proposed that uses only frequency-domain data. The method is based on loop shaping in the Nyquist diagram with constraints on the weighted infinity-norm of closed-loop t ...

Lavoisier2013

Data-driven model reference control with asymptotically guaranteed stability

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

This paper presents a data-driven controller tuning method that includes a set of constraints for ensuring closed-loop stability. The approach requires a single experiment and can also be applied to nonminimum-phase or unstable systems. The tuning scheme u ...

Wiley-Blackwell2011

Non-Iterative Data-Driven Model Reference Control

In model reference control, the objective is to design a controller such that the closed-loop system resembles a reference model. In the standard model-based solution, a plant model replaces the unknown plant in the design phase. The norm of the error betw ...

EPFL2010

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

Gorka Galdos Sanz de Galdeano

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

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

Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano

Some frequency-domain controller design problems are solved using a finite number of frequency samples. Consequently, the performance and stability conditions are not guaranteed for the frequencies between the frequency samples. In this paper, all possible ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

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

Bilevel programming for analysis of low-complexity control of linear systems with constraints

Colin Neil Jones

In this paper we use bilevel programming to find the maximum difference between a reference controller and a low-complexity controller in terms of the infinity-norm difference of their control laws. A nominal MPC for linear systems with constraints, and a ...

IEEE2009

Model-Free Precompensator Tuning Based on the Correlation Approach

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

High performance output tracking can be achieved by precompensator or feedforward controllers based on the inverse of either the closed-loop system or the plant model, respectively. However, it has been shown that these inverse controllers can adversely af ...

2008

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

Iterative Correlation-Based Controller Tuning

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H-Infinity Gain-Scheduled Controller Design for Rejection of Time-Varying Disturbances with Application to an Active Suspension System

H infinity Gain-scheduled Controller Design for Rejection of Time-varying Narrow-band Disturbances Applied to a Benchmark Problem

Data-driven model reference control with asymptotically guaranteed stability

Non-Iterative Data-Driven Model Reference Control

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

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

Frequency-domain controller design by linear programming

Bilevel programming for analysis of low-complexity control of linear systems with constraints

Model-Free Precompensator Tuning Based on the Correlation Approach

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

H infinity Gain-scheduled Controller Design for Rejection of Time-varying Narrow-band Disturbances Applied to a Benchmark Problem

Model-Free Precompensator Tuning Based on the Correlation Approach

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

H-Infinity Gain-Scheduled Controller Design for Rejection of Time-Varying Disturbances with Application to an Active Suspension System

Data-driven model reference control with asymptotically guaranteed stability

Non-Iterative Data-Driven Model Reference Control

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

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

Frequency-domain controller design by linear programming

Bilevel programming for analysis of low-complexity control of linear systems with constraints