Publications related to From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Alireza Karimi, Seyed Sohail Madani

Power-Hardware-in-the-Loop (PHIL) setups have gained high importance in validation of the performance of newly developed instruments and devices with low risk and implementation cost. However, the interconnection of a power hardware with a simulated model ...

2020

Frequency fluctuations in nanomechanical silicon nitride string resonators

Luis Guillermo Villanueva Torrijo, Alper Demir

High quality factor (Q) nanomechanical resonators have received a lot of attention for sensor applications with unprecedented sensitivity. Despite the large interest, few investigations into the frequency stability of high-Q resonators have been reported. ...

AMER PHYSICAL SOC2020

A Note on BIBO Stability

Michaël Unser

The statements on the BIBO stability of continuoustime convolution systems found in engineering textbooks are often either too vague (because of lack of hypotheses) or mathematically incorrect. What is more troubling is that they usually exclude the identi ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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

Alireza Karimi, Achille Nicoletti, Michele Martino

A new data-driven approach using the frequency response function (FRF) of a system is proposed for designing robust-fixed structure digital controllers for particle accelerators' power converters. This design method ensures that the dynamics of a system ar ...

2019

A data-driven approach to model-reference control with applications to particle accelerator power converters

Alireza Karimi, Achille Nicoletti, Michele Martino

A new model-reference data-driven approach is presented which uses the frequency response data of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. It is shown that a convex optimization problem can b ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Alireza Karimi, Achille Nicoletti

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex cons ...

WILEY2019

Two-degrees-of-freedom (PID)-D-2 controller for precise nanopositioning in the presence of hardware-induced constant time delay

Andres San Millan Rodriguez

The fast and accurate tracking of periodic and arbitrary reference trajectories is the principal goal in many nanopositioning applications. Flexure-based piezoelectric stack driven nanopositioners are widely employed in applications where accurate mechanic ...

ELSEVIER SCIENCE INC2019

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Maryam Kamgarpour, Luca Furieri

This letter proposes a novel input-output parametrization of the set of internally stabilizing output-feedback controllers for linear time invariant (LTI) systems. Our underlying idea is to directly treat the closed-loop transfer matrices from disturbances ...

2019

Design of Magnetic Bearing Control System Based on Active Disturbance Rejection Theory

Yuanping Xu

At present, most of the magnetic bearing system adopts the classical proportional-integral-derivative (PID) control strategy. However, the external disturbances, system parameter perturbations, and many other uncertain disturbances result in PID controller ...

2019

From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

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System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Frequency fluctuations in nanomechanical silicon nitride string resonators

A Note on BIBO Stability

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

A data-driven approach to model-reference control with applications to particle accelerator power converters

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Two-degrees-of-freedom (PID)-D-2 controller for precise nanopositioning in the presence of hardware-induced constant time delay

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Design of Magnetic Bearing Control System Based on Active Disturbance Rejection Theory

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

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Frequency fluctuations in nanomechanical silicon nitride string resonators

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

A Note on BIBO Stability

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Two-degrees-of-freedom (PID)-D-2 controller for precise nanopositioning in the presence of hardware-induced constant time delay

Design of Magnetic Bearing Control System Based on Active Disturbance Rejection Theory

A data-driven approach to model-reference control with applications to particle accelerator power converters