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

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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

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

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Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems

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

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling

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

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems

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

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

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling