Publications related to Enhancing the control of tokamaks via a continuous nonlinear control law

Modelling of the FPS for the internal coils and investigating controller discretization effects in TCV

The tokamak in Lausanne, Switzerland (TCV), has been designed to investigate highly elongated plasmas. The elongation improves performance but also introduces a vertical position instability which requires active feedback control to stabilize. The potentia ...

2020

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

Maryam Kamgarpour, Luca Furieri, Na Li

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

Resistivity of REBCO tapes in overcritical current regime: impact on superconducting fault current limiter modeling

Francesco Grilli, Nicolo' Riva, Frédéric Sirois, Bertrand Dutoit

A detailed knowledge of the resistivity of high-temperature superconductors in the overcritical current regime is important to achieve reliable numerical simulations of applications such as superconducting fault current limiters. We have previously shown t ...

2020

Improving sound absorption through nonlinear active electroacoustic resonators

Romain Christophe Rémy Fleury, Hervé Lissek, Xinxin Guo

Absorbing airborne noise at frequencies below 300 Hz is a particularly vexing problem due to the absence of natural sound absorbing materials at these frequencies. The prevailing solution for low-frequency sound absorption is the use of passive narrow-band ...

2020

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Maryam Kamgarpour, Luca Furieri

We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite-horizon, where the controller depends linearly on the history of the outputs and it is required to lie in a given subspace, e.g. to possess a certain spars ...

IEEE2020

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Alireza Karimi, Seyed Sohail Madani

In this paper, a data-driven method for controller design with constraints on the positive-realness of closed-loop transfer functions over an arbitrary set of frequencies is proposed. The positive-realness of a closed-loop transfer function is represented ...

IEEE2020

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

On Gaussian Process based Koopman Operator

Colin Neil Jones

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

2020

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

Petr Listov

A feedback control design is proposed for stochastic systems with finite second moment which aims at maximising the region of attraction of the equilibrium point. Polynomial Chaos (PC) expansions are employed to represent the stochastic closed loop system ...

2020

A hybrid control strategy for force and precise end effector positioning of a twisted string actuator

Jamie Paik, Andres San Millan Rodriguez

We propose a new control approach for the twisted string actuation (TSA) system; a hybrid control scheme consisting of two nested loops, considering the motor angle and the axial force at the clamping point of the actuator as the system outputs. We show th ...

2020

Enhancing the control of tokamaks via a continuous nonlinear control law

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Modelling of the FPS for the internal coils and investigating controller discretization effects in TCV

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

Resistivity of REBCO tapes in overcritical current regime: impact on superconducting fault current limiter modeling

Improving sound absorption through nonlinear active electroacoustic resonators

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

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

On Gaussian Process based Koopman Operator

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

A hybrid control strategy for force and precise end effector positioning of a twisted string actuator

A hybrid control strategy for force and precise end effector positioning of a twisted string actuator

Modelling of the FPS for the internal coils and investigating controller discretization effects in TCV

Resistivity of REBCO tapes in overcritical current regime: impact on superconducting fault current limiter modeling

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

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Improving sound absorption through nonlinear active electroacoustic resonators

On Gaussian Process based Koopman Operator

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

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