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

A Data-Driven Approach to Power Converter Control via Convex Optimization

Alireza Karimi, Achille Nicoletti, Michele Martino

A new model reference data-driven approach is presented for synthesizing controllers for the CERN power converter control system. This method uses the frequency re- sponse function (FRF) of a system in order to avoid the problem of unmodeled dynamics assoc ...

2017

Design Optimization of Round Strands Made by Twisted Stacks of HTS Tapes

Pierluigi Bruzzone, Davide Uglietti, Rainer Wesche

Atwisted stack of high-temperature superconducting (HTS) tapes soldered into copper profiles was used as a strand in the fabrication of the 60-kA/ 12-T HTS cable prototype at the Center for Research in Plasma Physics (CRPP). Considering the strand in gener ...

Ieee-Inst Electrical Electronics Engineers Inc2016

A method for aggregating external operating conditions in multi-generation system optimization models

Adriano Viana Ensinas, Christoffer Lythcke-Jørgensen

This paper presents a novel, simple method for reducing external operating condition datasets to be used in multi-generation system optimization models. The method, called the Characteristic Operating Pattern (CHOP) method, is a visually-based aggregation ...

2016

Real-Time Optimization Based on Adaptation of Surrogate Models

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Martand Singhal

Recently, different real-time optimization (RTO) schemes that guarantee feasibility of all RTO iterates and monotonic convergence to the optimal plant operating point have been proposed. However, simulations reveal that these schemes converge very slowly t ...

Elsevier Science Bv2016

Modifier Adaptation for Real-Time Optimization -- Methods and Applications

Dominique Bonvin, Grégory François, Timm Faulwasser, Alejandro Gabriel Marchetti

This paper presents an overview of the recent developments of modifier-adaptationschemes for real-time optimization of uncertain processes. These schemes have the ability to reach plant optimality upon convergence despite the presence of structural plant-m ...

MDPI2016

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

Federico Negri

In this paper, we propose a model order reduction framework for parametrized quadratic optimization problems constrained by nonlinear stationary PDEs. Once the solutions of the optimization problem are characterized as the solutions of the corresponding op ...

MATHICSE2015

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Dominique Bonvin, Grégory François, Sean Costello

This paper applies a novel two-layer optimizing control scheme to a kite-control benchmark problem. The upper layer is a recent real-time optimization algorithm, called Directional Modifier Adaptation, which represents a variation of the popular Modifier A ...

IEEE2015

Optimisation en Temps Réel: Optimiser les Performances des Procédés Chimiques malgré l’Incertitude et les Erreurs de Modélisation

Grégory François

This document summarizes the author’s research activities since 1999. They mainly focus on the modelling, the control and the optimization of processes and contributed to the development of real-time optimization methods (RTO), that is, process optimizatio ...

Université de Lorraine2014

Global Optimization of Ultrahigh-Q H0 Photonic Crystal Nanocavity in Silicon

Romuald Houdré, Vincenzo Savona, Momchil Minkov, Ulagalandha Perumal Dharanipathy, Mario Lucien Henri Tonin

The design of photonic crystal cavities has always presented a considerable challenge over the past two decades. In this work, a global optimization technique has been used to maximize the Q/V ratio of a simple H0 type nanocavity. The optimization is carri ...

Ieee2014

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

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A Data-Driven Approach to Power Converter Control via Convex Optimization

Design Optimization of Round Strands Made by Twisted Stacks of HTS Tapes

A method for aggregating external operating conditions in multi-generation system optimization models

Real-Time Optimization Based on Adaptation of Surrogate Models

Modifier Adaptation for Real-Time Optimization -- Methods and Applications

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Optimisation en Temps Réel: Optimiser les Performances des Procédés Chimiques malgré l’Incertitude et les Erreurs de Modélisation

Global Optimization of Ultrahigh-Q H0 Photonic Crystal Nanocavity in Silicon

Design Optimization of Round Strands Made by Twisted Stacks of HTS Tapes

Modifier Adaptation for Real-Time Optimization -- Methods and Applications

A method for aggregating external operating conditions in multi-generation system optimization models

Real-Time Optimization Based on Adaptation of Surrogate Models

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Global Optimization of Ultrahigh-Q H0 Photonic Crystal Nanocavity in Silicon

Optimisation en Temps Réel: Optimiser les Performances des Procédés Chimiques malgré l’Incertitude et les Erreurs de Modélisation

MATHICSE Technical Report : A model order reduction framework for parametrized nonlinear PDE constrained optimization

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

A Data-Driven Approach to Power Converter Control via Convex Optimization