Publications associées à Selective Input Adaptation in Parametric Optimal Control Problems involving Terminal Constraints

PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

Loop closure detection helps simultaneous localization and mapping systems reduce map and state uncertainty via recognizing previously visited places along the path of a mobile robot. However, visual loop closure detection is susceptible to scenes with dyn ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Generalization of the Concept of Extents to Distributed Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

In the chemical industry, a large class of processes involving reactions can be described by partial differential equations that depend on time and on one or more spatial coordinates. Examples of such distributed reaction systems are tubular reactors and r ...

Elsevier2017

Rise time reduction of thermal actuators operated in air and water through optimized pre-shaped open-loop driving

Georg Fantner, Nahid Hosseini, Tom Larsen

Electrothermal actuators have many advantages compared to other actuators used in micro-electro-mechanical systems (MEMS). They are simple to design, easy to fabricate and provide large displacements at low voltages. Low voltages enable less stringent pass ...

2017

Control of Interbank Contagion Under Partial Information

Léo Hamed Amini

We consider a stylized core-periphery financial network in which links lead to the creation of projects in the outside economy but make banks prone to contagion risk. The controller seeks to maximize, under budget constraints, the value of the financial sy ...

Siam Publications2015

Directional Input Adaptation in Parametric Optimal Control Problems

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

This paper deals with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. The proposed adaptation consists in using the nominal optimal inputs and adding appropriately designed inp ...

Society for Industrial and Applied Mathematics2012

On the Use of Models for Real-Time Optimization

Dominique Bonvin

The operation of dynamic processes can be optimized using models that predict the system behavior well, in particular its optimality features. In practice, however, process models are often structurally inaccurate, and on-line adaptation is typically requi ...

2012

On the Role of Constraints in Optimization under Uncertainty

Saurabh Anand Deshpande

This thesis addresses the problem of industrial real-time process optimization that suffers from the presence of uncertainty. Since a process model is typically used to compute the optimal operating conditions, both plant-model mismatch and process disturb ...

EPFL2012

DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views

Milos Nikolic, Christoph Koch, Yanif Ahmad

Applications ranging from algorithmic trading to scientific data analysis require realtime analytics based on views over databases that change at very high rates. Such views have to be kept fresh at low maintenance cost and latencies. At the same time, the ...

2012

A Dual Algorithm for $ L _{ 1 } $ -Regularized Reconstruction of Vector Fields

Michaël Unser, Pouya Dehghani Tafti, Emrah Bostan

Recent advances in vector-field imaging have brought to the forefront the need for efficient denoising and reconstruction algorithms that take the physical properties of vector fields into account and can be applied to large volumes of data. With these req ...

IEEE2012

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

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

A 20-bit dynamic range CMOS A/D converter for ionization chambers

Maher Kayal, François Krummenacher, Bernd Dehning

We present the design of a wide dynamic-range CMOS A/D interface circuit for ionization chambers, able to digitize input charge of both polarities over six decades, to operate in a radioactive environment, and foreseen working without calibration. The circ ...

IEEE2011

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

Parametric Sensitivity of Path-Constrained Optimal Control: Towards Selective Input Adaptation

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

In the context of dynamic optimization, plant variations necessitate adaptation of the input profiles in order to guarantee both feasible and optimal operation. For those problems having path constraints, two sets of directions can be distinguished in the ...

2009

Image Reconstruction in the Gigavision Camera

Martin Vetterli, Luciano Sbaiz, Sabine Süsstrunk, Edoardo Charbon, Feng Yang

Recently we have proposed a new image device called the gigavision camera. The main feature of this camera is that the pixels have a binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which ma ...

2009

Neighboring-Extremal Control for Singular Dynamic Optimization Problems. I-Single-Input Systems

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 optimum. For nonsingular control problems, this can be done by tracking active constraints along b ...

2009

Neighboring-Extremal Control for Singular Dynamic Optimization Problems. II- Multiple-Input Systems

Sébastien Gros, Dominique Bonvin, Benoît Chachuat

Dynamic optimization provides a unified framework for improving process operations while taking operational constraints into account. In the presence of uncertainty, measurements can be incorporated into the optimization framework for tracking the optimum. ...

2009

Disseminating Streaming Data in a Dynamic Environment: an Adaptive and Cost-Based Approach

In a distributed stream processing system, streaming data are continuously disseminated from the sources to the distributed processing servers. To enhance the dissemination efficiency, these servers are typically organized into one or more dissemination tr ...

Springer-Verlag2008

Neighboring extremals in optimization and control

Sébastien Gros

Optimization arises naturally when process performance needs improvement. This is often the case in industry because of competition – the product has to be proposed at the lowest possible cost. From the point of view of control, optimization consists in de ...

EPFL2007

Robust People Tracking with Global Trajectory Optimization

Pascal Fua, Jérôme Berclaz, François Fleuret

Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions. In addit ...

2006