Publications related to Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Optimization-based solutions to constrained trajectory-tracking and path-following problems

The prototypical problem in control theory is the stabilization of a set point. When, instead of a set point, a time-varying reference needs to be stabilized, then the problem is called trajectory tracking. Typical examples of trajectory-tracking problems ...

Shaker Verlag2013

BDS-MAJ: A BDD-based Logic Synthesis Tool Exploiting Majority Logic Decomposition

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù

Despite the impressive advance of logic synthesis during the past decades, a general methodology capable of efficiently synthesizing both control and datapath logic is still missing. Indeed, while synthe- sis techniques for random control logic (AND/OR-int ...

2013

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

Andrea Manzoni

The objective of this thesis is to develop reduced models for the numerical solution of optimal control, shape optimization and inverse problems. In all these cases suitable functionals of state variables have to be minimized. State variables are solutions ...

EPFL2012

Model Adequacy for Real-Time Optimization

Dominique Bonvin

Optimization is important in science and engineering as a way of finding ”optimal” situations, designs or operating conditions. Optimization is typically performed on the basis of a mathematical model of the process under investigation. In practice, optimi ...

2012

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

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

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 ...

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

Comparison of Six Implicit Real-Time Optimization Schemes

Dominique Bonvin, Grégory François

Real-time optimization (RTO) is a class of methods that use measurements to reject the effect of uncertainty on optimal performance. This article compares six implicit RTO schemes, that is, schemes that implement optimality not through numerical optimizati ...

Lavoisier2012

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

We evaluate the information-theoretic achievable rates of Quantize-Map-and-Forward (QMF) relaying schemes over Gaussian N-relay diamond networks. Focusing on vector Gaussian quantization at the relays, our goal is to understand how close to the cutset uppe ...

Ieee2012

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

We evaluate the information-theoretic achievable rates of Quantize-Map-and-Forward (QMF) relaying schemes over Gaussian

N

-relay diamond networks. Focusing on vector Gaussian quantization at the relays, our goal is to understand how close to the cutset up ...

2012

Robust resource allocations in temporal networks

Daniel Kuhn, Wolfram Wiesemann

Temporal networks describe workflows of time-consuming tasks whose processing order is constrained by precedence relations. In many cases, the durations of the network tasks can be influenced by the assignment of resources. This leads to the problem of sel ...

2012

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

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Optimization-based solutions to constrained trajectory-tracking and path-following problems

BDS-MAJ: A BDD-based Logic Synthesis Tool Exploiting Majority Logic Decomposition

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

Model Adequacy for Real-Time Optimization

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

On the Role of Constraints in Optimization under Uncertainty

Comparison of Six Implicit Real-Time Optimization Schemes

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Robust resource allocations in temporal networks

BDS-MAJ: A BDD-based Logic Synthesis Tool Exploiting Majority Logic Decomposition

Optimization-based solutions to constrained trajectory-tracking and path-following problems

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Comparison of Six Implicit Real-Time Optimization Schemes

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

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

Robust resource allocations in temporal networks

Model Adequacy for Real-Time Optimization

On the Role of Constraints in Optimization under Uncertainty