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Dominique Bonvin

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Related publications (238)

Measurement-based Optimization of Batch Processes: Meeting Terminal Constraints On-line via Trajectory Following

The context of this paper is the use of process measurements to optimize batch processes in the presence of uncertainty. The optimal solution consists of (i) keeping certain path and terminal constraints active and (ii) driving the sensitivities to zero. I ...

2008

Jet-Scheduling Control for SpiderCrane: Experimental Results

Dominique Bonvin, Philippe Müllhaupt, Christophe Salzmann, Davide Buccieri

SpiderCrane is a three-dimensional crane, whose main particularity lies in the absence of large inertial moving parts. This paper presents experimental results obtained with the novel jet-scheduling control methodology that is based on differential flatnes ...

2008

Tracking the Necessary Conditions of Optimality with Changing Set of Active Constraints using a Barrier-Penalty Function

Dominique Bonvin

In the framework of process optimization, the use of measurements to compensate the effect of uncertainty has become an active area of research. One of the ideas therein is to enforce optimality by tracking the necessary conditions of optimality (NCO track ...

2008

Stabilization of a 2D-SpiderCrane Mechanism Using Damping Assignment Passivity-based Control

Dominique Bonvin, Philippe Müllhaupt

Cable-operated manipulators, also termed cable robots, possess a number of unique properties which make them suitable for tasks involving high payloads, large workspaces, and interacting with dangerous materials. But the fact that cables can only pull the ...

2008

Data-driven controller tuning with integrated stability constraint

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

This paper presents a data-driven controller-tuning algorithm that includes a sufficient condition for closed-loop stability. This stability condition is defined by a set of convex constraints on the Fourier transform of specific auto- and cross-correlatio ...

IEEE2008

NCO Tracking for Singular Control Problems Using Neighboring Extremals

Sébastien Gros, Dominique Bonvin, Benoît Chachuat

A powerful approach for dynamic optimization in the presence of uncertainty is to incorporate measurements into the optimization framework so as to track the necessary conditions of optimality (NCO), the so-called NCO- tracking approach. For nonsingular co ...

2008

Real-Time Optimization via Adaptation and Control of the Constraints

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

In the framework of real-time optimization, measurements are used to compensate for effects of uncertainty. The main approach uses measurements to update the parameters of a process model. In contrast, the constraint-adaptation scheme uses the measurements ...

2008

Process Optimization via Constraints Adaptation

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

In the framework of real-time optimization, measurement-based schemes have been developed to deal with plant-model mismatch and process variations. These schemes differ in how the feedback information from the plant is used to adapt the inputs. A recent id ...

2008

Rank augmentation of spectral reaction data using calorimetric and gas consumption data

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

Cemagref Languedoc Roussillon2008

Data-Driven Estimation of the Infinity Norm of a Dynamical System

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

The estimation of a system’s infinity norm using one set of measured input and output data is investigated. It is known that, if the data set is noise free, this problem can be solved using convex optimization. In the presence of noise, convergence of this ...

2007

Dynamic Optimization in the Presence of Uncertainty: From Off-Line Nominal Solution to Measurement-Based Implementation

Dominique Bonvin

2007

Oxygen Control for an Industrial Pilot-Scale Fed-Batch Filamentous Fungal Fermentation

Dominique Bonvin, Levente Bodizs

Industrial filamentous fungal fermentations are typically operated in fed- batch mode. Oxygen control represents an important operational challenge due to the varying biomass concentration. In this study, oxygen control is implemented by manipulating the s ...

2007

Correlation-Based Tuning of Decoupling Multivariable Controllers

Dominique Bonvin, Ljubisa Miskovic, Alireza Karimi

The iterative data-driven method labelled Correlation-based Tuning (CbT) is considered in this paper for the tuning of linear time-invariant multivariable controllers. The approach allows one to tune some elements of the controller transfer function matrix ...

2007

Parameter Identification to Enforce Practical Observability of Nonlinear Systems

Dominique Bonvin, Levente Bodizs

The sensitivity of the unmeasured state variables to the measurements strongly affects the rate of convergence of a state estimation algorithm. To overcome potential observability problems, the approach has been to identify the model parameters so as to re ...

2007

Controllability and Stability of Repetitive Batch Processes

Dominique Bonvin

Batch control has traditionally addressed the problems related to the absence of a steady state and the finite batch duration. Recently, batch control has added the dimension that arises naturally from the possibility of applying run-to-run control, i.e. i ...

2007

Real-time optimization of continuous processes via constraints adaptation

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

In the framework of process optimization, measurements can be used to compensate for the effect of uncertainty. The method studied in this paper combines a process model and measurements to iteratively improve the operation of continuous processes. Unlike ...

2007

A Two-Time-Scale Control Scheme for Fast Unconstrained Systems

Sébastien Gros, Dominique Bonvin, Philippe Müllhaupt, Davide Buccieri

2007

Batch process optimization via run-to-run constraints adaptation

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

In the batch process industry, the available models carry a large amount of uncertainty and can seldom be used to directly optimize real processes. Several measurement-based optimization methods have been proposed to deal with model mismatch and process di ...

2007

Noniterative Data-driven Controller Tuning Using the Correlation Approach

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

Data-driven controller tuning for model reference control problem is investigated. A new controller tuning scheme for linear time-invariant single- input single-output systems is proposed. The method, which is based on the correlation approach, uses a sing ...

2007

Real-Time Optimization of Batch Processes by Tracking the Necessary Conditions of Optimality

Dominique Bonvin

2007

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