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Dominique Bonvin

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Publications associées (238)

Stabilization of the cart-pendulum system through approximate manifold decomposition

Dominique Bonvin, Philippe Müllhaupt, David Ingram

This paper proposes a feedback law capable of swinging up and stabilizing the cartpendulum system. The approach uses an iterative algorithm that is typically used to construct a locally linearizing output for nonlinear control-affine systems. However, rath ...

2011

On multivariate calibration with unlabeled data

Michael Amrhein, Dominique Bonvin, Pamandeep Singh Gujral

In principal component regression (PCR) and partial least-squares regression (PLSR), the use of unlabeled data, in addition to labeled data, helps stabilize the latent subspaces in the calibration step, typically leading to a lower prediction error. A non- ...

Wiley-Blackwell2011

A Globally Convergent Algorithm for the Run-to-Run Control of Systems with Sector Nonlinearities

Dominique Bonvin, Grégory François

Run-to-run control is a technique that exploits the repetitive nature of processes to iteratively adjust the inputs and drive the run-end outputs to their reference values. It can be used to control both static and finite-time dynamic systems. Although the ...

American Chemical Society2011

Incremental Identification of Reaction and Mass-Transfer Kinetics Using the Concept of Extents

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

This paper proposes a variation of the incremental approach to identify reaction and mass-transfer kinetics (rate expressions and the corresponding rate parameters) from concentration measurements for both homogeneous and gas-liquid reaction systems. This ...

2011

Robust Real-Time Optimization of a Solid Oxide Fuel Cell Stack

Dominique Bonvin, Jan Van Herle, Zacharie Wuillemin, Arata Nakajo, Alejandro Gabriel Marchetti, Benoît Chachuat, Leonidas Tsikonis

On-line control and optimization can improve the eﬃciency of fuel cell systems whilst simultaneously ensuring that the operation remains within a safe region. Also, fuel cells are subject to frequent variations in their power demand. This paper investigate ...

2011

Modifier Adaptation for Run-to-Run Optimization of Transient Processes

Dominique Bonvin, Grégory François, Sean Costello

Dynamic optimization can be used to determine optimal input profiles for dynamic processes. Due to plant-model mismatch and disturbances, the optimal inputs determined through model-based optimization will, in general, not be optimal for the plant. Modifie ...

2011

On the Design of Integral Observers for Unbiased Output Estimation in the Presence of Uncertainty

Dominique Bonvin, Levente Bodizs

Integral observers are useful tools for estimating the plant states in the presence of non-vanishing disturbances resulting from plant-model mismatch and exogenous disturbances. It is well known that these observers can eliminate bias in all states, given ...

Elsevier2011

Data-driven model reference control with asymptotically guaranteed stability

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

This paper presents a data-driven controller tuning method that includes a set of constraints for ensuring closed-loop stability. The approach requires a single experiment and can also be applied to nonminimum-phase or unstable systems. The tuning scheme u ...

Wiley-Blackwell2011

Extents of reaction and flow for homogeneous reaction systems with inlet and outlet streams

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

This paper proposes two transformations for homogeneous reaction systems with inlet and outlet streams that allow isolating three distinct parts of the state vector, namely, the reaction variants, the reaction invariants but inlet- ﬂow variants, and the re ...

2010

Experimental Real-Time Optimization of a Solid Oxide Fuel Cell Stack via Constraint Adaptation

Dominique Bonvin, Zacharie Wuillemin, Arata Nakajo, Grégory François, Leonidas Tsikonis, Gene Bunin

The experimental validation of a real-time optimization (RTO) strategy for the optimal operation of a solid oxide fuel cell (SOFC) stack is reported in this paper. Unlike many existing studies, the RTO approach presented here utilizes the constraint-adapta ...

2010

Identification of reaction and mass-transfer rates in gas-liquid reaction systems

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

This paper deals with the identification of reaction and mass-transfer rates from concentrations measured in gas-liquid reaction systems. It is assumed that the reactions take place in the liquid bulk only. The identification proceeds in two steps: (i) est ...

IIT-Madras2010

Selective Input Adaptation in Parametric Optimal Control Problems involving Terminal Constraints

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

This paper is concerned with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. For optimal control problems having terminal constraints, two sets of directions can be distinguish ...

2010

Extents of Reaction, Mass Transfer and Flow for Gas-Liquid Reaction Systems

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

For gas-liquid reaction systems with inlet and outlet streams, this paper proposes a linear transformation to decompose the numbers of moles vector into five distinct parts, namely, the extents of reaction, the extents of mass transfer, the extents of inle ...

2010

Selective Input Adaptation in Parametric Optimal Control Problems with Path Constraints

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

This paper is concerned with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. For optimal control problems having mixed control-state constraints, two sets of directions can be ...

2010

Framework for explicit drift correction in multivariate calibration models

Michael Amrhein, Dominique Bonvin, Pamandeep Singh Gujral

Latent-variable calibrations using principal component regression and partial least-squares regression are often compromised by drift such as systematic disturbances and offsets. This paper presents a two-step framework that facilitates the evaluation and ...

2010

A Dual Modifier-Adaptation Approach for Real-Time Optimization

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

For good performance in practice, real-time optimization schemes need to be able to deal with the inevitable plant-model mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach does no ...

Elsevier2010

Minimal state representation of homogeneous reaction systems

Michael Amrhein, Dominique Bonvin, Nirav Pravinbhai Bhatt

Minimal state representations are parsimonious models having no redundant states. For homogeneous reaction systems with S species, R independent reactions, p independent inlet streams and one outlet stream, a nonlinear transformation of the numbers of mole ...

2010

Non-iterative data-driven controller tuning with guaranteed stability: Application to direct-drive pick-and-place robot

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

This paper illustrates the practical application of non-iterative correlation- based tuning with guaranteed stability. In this method, a sufficient condition for closed-loop stability is defined as the H infinity-norm of a particular error function. This n ...

2010

Two-Layered Real-Time Optimization of a Solid Oxide Fuel Cell Stack

Dominique Bonvin, Grégory François, Gene Bunin

The optimal operation of a solid oxide fuel cell stack is addressed in this paper. Real-time optimization, performed at a slow time scale via constraint adaptation, is used to account for uncertainty and degradation eﬀects, while model-predictive control i ...

2010

Modifier-Adaptation Methodology for Real-Time Optimization

Dominique Bonvin, Alejandro Gabriel Marchetti

The ability of a model-based real-time optimization scheme to converge to the plant optimum relies on the ability of the underlying process model to predict the plant's necessary conditions of optimality (NCO). These include the values and gradients of the ...

2009

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