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Dominique Bonvin

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Related publications (238)

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

On the Design of Economic NMPC Based on Approximate Turnpike Properties

Dominique Bonvin, Timm Faulwasser

We discuss the design of sampled-data economic nonlinear model predictive control schemes for continuous-time systems based on turnpike properties. In a recent paper we have shown that an exact turnpike property allows establishing finite-time convergence ...

2015

Control and Optimization of Batch Processes

Dominique Bonvin

A batch process is characterized by the repetition of time-varying operations of finite duration. Due to the repetition, there are two independent “time” variables, namely, the run time during a batch and the batch counter. Accordingly, the control and opt ...

Springer Science+Business Media2015

Data Reconciliation in Reaction Systems using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Abstract of the conference paper Concentrations measured during the course of a chemical reaction are corrupted with noise, which reduces the quality of information. Since these measurements are used for identifying kinetic models, the noise imp ...

Elsevier2015

On the Design of Economic NMPC Based on an Exact Turnpike Property

Dominique Bonvin, Timm Faulwasser

We discuss the design of sampled-data economic nonlinear model predictive control schemes for continuous-time systems. We present novel sufficient convergence conditions that do not require any kind of terminal constraints nor terminal penalties. Instead, ...

IFAC2015

Control of Reaction Systems via Rate Estimation and Feedback Linearization

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

Abstract of the conference paper The kinetic identification of chemical reaction systems often represents a time-consuming and complex task. This contribution presents an approach that uses rate estimation and feedback linearization to implement ...

Elsevier2015

Variant and Invariant States for Chemical Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan, Diogo Filipe Mateus Rodrigues

Models of open non-isothermal heterogeneous reaction systems can be quite complex as they include information regarding the reactions, the inlet and outlet flows, the transfer of species between phases and the transfer of energy. This paper builds on the c ...

Elsevier2015

Data Reconciliation in Open Reaction Systems using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Kinetic models of chemical reaction systems are typically represented in terms of state variables, such as concentrations, temperature and partial pressures [1]. These state variables in turn depend on the underlying reactions, transfer phenomena, and tran ...

2015

On the Use of Transient Information for Static Real-Time Optimization

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti

Optimal operation of chemical processes is key for meeting productivity, quality, safety and environmental objectives. Both model-based and data-driven schemes are used to compute optimal operating conditions [1]: - The model-based techniques are intu ...

2015

On Handling Cost Gradient Uncertainty in Real-Time Optimization

Dominique Bonvin, Martand Singhal, Timm Faulwasser

This paper deals with the real-time optimization of uncertain plants and proposes an approach based on surrogate models to reach the plant optimum when the plant cost gradient is imperfectly known. It is shown that, for processes with only box constraints, ...

2015

Incremental Model Identification in Distributed Two-phase Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

Transformation to variant and invariant states, called extents, is used to decouple the dynamic effects of reaction systems and serves as basis for incremental model identification, in which kinetic models are identified individually for each dynamic effec ...

IFAC2015

Analysis of the Maximum Efficiency of Kite-Power Systems

Dominique Bonvin, Grégory François, Sean Costello

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 ...

2015

Modifier Adaptation for Constrained Closed-Loop Systems

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti, Sean Costello

The steady advance of computational methods makes model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. An iterative optimization method called "modifier adaptation" ov ...

2014

Invariant Relationships for Heterogeneous Chemical Reaction Systems in Open Reactors

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Many chemical and biochemical industries utilize chemical reaction processes to get desired products from raw materials. Common examples include reaction systems used to manufacture pharmaceutical drugs, vaccines and other chemicals. A chemical reaction sy ...

2014

On the Use of Second-Order Modifiers for Real-Time Optimization

Dominique Bonvin, Timm Faulwasser

We consider the real-time optimization of static plants and propose a generalized version of the modifier-adaptation strategy that relies on second-order adaptation of the cost and constraint functions. We show that second-order adaptation allows checking ...

2014

Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC

Dominique Bonvin, Colin Neil Jones, Milan Korda, Timm Faulwasser

We investigate the turnpike and dissipativity properties of continuous-time optimal control problems. These properties play a key role in the analysis and design of schemes for dynamic real-time optimization and economic model predictive control. We show i ...

2014

On the Use of Extents for Process Monitoring and Fault Diagnosis

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Process monitoring and fault diagnosis are broadly used to control quality and enforce safety compliance in industrial processes. Processes are commonly monitored by online spectroscopy, with either PCA or calibration techniques such as PLS being used to p ...

2014

Real-Time Optimization: Optimizing the Operation of Energy Systems in the Presence of Uncertainty and Disturbances

Dominique Bonvin, Grégory François

In practice, the quest for the optimal operation of energy systems is complicated by the simultaneous presence of operating constraints, among which the need for producing the power required by the user, and of uncertainty. The latter concept incorporates ...

2014

Use of Transient Measurements for the Optimization of Steady-State Performance via Modifier Adaptation

Dominique Bonvin, Grégory François

Real-time optimization (RTO) methods use measurements to offset the effect of uncertainty and drive the plant to optimality. RTO schemes differ in the way measurements are incorporated in the optimization framework. Explicit RTO schemes solve a static opti ...

American Chemical Society2014

Extent-based Model Identification of Surface Catalytic Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan, Diogo Filipe Mateus Rodrigues

Identification of kinetic models and estimation of reaction and mass-transfer parameters is an important task for monitoring, control and optimization of industrial processes. A methodology called Extent-based Model Identification has been developed to sep ...

2014

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