Publications by Dominique Bonvin

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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 ...

A new approach for gradient estimation in the context of real-time optimization under uncertainty is proposed in this paper. While this estimation problem is often a difficult one, it is shown that it can be simplified significantly if an assumption on the ...

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 ...

For good performance in practice, real-time optimization schemes need to be able to deal with the inevitable model-mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach uses experime ...

This paper analyzes the maximum power that a kite, or system of kites, can extract from the wind. Firstly, a number of existing results on kite system efficiency are reviewed. The results that are generally applicable require significant simplifying assump ...

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 ...

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 ...

Model-based optimization is an increasingly popular way of determining the values of the degrees of freedom in a process. The difficulty is that the available model is often inaccurate. Iterative set-point optimization, also known as modifier adaptation, o ...

This paper’s main contribution is a theoretical result that can be used to evaluate the maximum powergenerating potential of any kite-power system. An upper bound is derived for the power a wing can generate in a given wind speed. It is proven that the ang ...

This document acts as a detailed users' guide to the SCFO real-time optimization (RTO) solver, and guides the user through basic setup, configuration, and theoretical aspects of the solver. Several application examples are also presented.

Dominique Bonvin

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Batch process optimization via run-to-run constraints adaptation

Industrial experience with oxygen control of fed-batch filamentous fungal fermentation

Control of Pendubot using Input-output Feedback Linearization and Predictive Control

Exploiting Local Quasiconvexity for Gradient Estimation in Modifier-Adaptation Schemes

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

Real-time Optimization with Estimation of Experimental Gradient

Analysis of the Maximum Efficiency of Kite-Power Systems

Rank analysis of spectral reaction data for factor-analytical methods

Controllability and Stability of Repetitive Batch Processes

Modeling for Control of Fed-Batch Fermenters

An Optimal Operating Strategy for Fixed-Bed Bioreactors Used in Wastewater Treatment

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

Real-Time Optimization when the Plant and the Model have Different Inputs

A Betz-Inspired Principle for Kite-Power Generation Using Tethered Wings

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

Parameter Identification to Enforce Practical Observability – Application to (Fed-)batch Bioprocesses

The SCFO Real-Time Optimization Solver: Users' Guide (version 0.9.4)

Dynamic Real-Time Optimization: From Off-Line Numerical Solution to Measurement-Based Implementation

Static Optimization via Tracking of the Necessary Conditions of Optimality using Neighboring Extremals

Optimal Load Sharing of Parallel Compressors via Modifier Adaptation