Publications by Timm Faulwasser

A note on efficient computation of privileged directions in modifier adaptation

Dominique Bonvin, Alejandro Gabriel Marchetti, Martand Singhal, Timm Faulwasser

In the presence of plant-model mismatch, the estimation of plant gradients is key to the performance of measurement-based iterative optimization schemes. However, gradient estimation requires time-consuming experiments, wherein the plant is sequentially pe ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Real-time optimization of load sharing for gas compressors in the presence of uncertainty

Dominique Bonvin, Alejandro Gabriel Marchetti, Timm Faulwasser, Predrag Milosavljevic

This paper investigates the problem of load-sharing optimization of gas compressors in the presence of uncertainty. The objective is to operate a set of compressor units in an energy-efficient way, while at the same time meeting a varying load demand. The ...

ELSEVIER SCI LTD2020

Enforcing optimal operation in solid-oxide fuel-cell systems

Dominique Bonvin, Christophe Salzmann, Jan Van Herle, Zacharie Wuillemin, Timm Faulwasser, Tafarel de Avila Ferreira

This paper describes an optimization strategy for operating solid-oxide fuel-cell systems at optimal efficiency. Specifically, we present the experimental validation of a real-time optimization (RTO) strategy applied to a commercial solid-oxide fuel-cell s ...

2019

A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations

Dominique Bonvin, Timm Faulwasser, Predrag Milosavljevic, René Uwe Schneider

2018

Active directional modifier adaptation for real-time optimization

Dominique Bonvin, Martand Singhal, Timm Faulwasser

2018

Adaptation strategies for tracking constraints under plant-model mismatch

Dominique Bonvin, Martand Singhal, Timm Faulwasser

Optimal operating conditions for a process plant are typically obtained via model based optimization. However, due to modeling errors, the operating conditions found are often sub-optimal or, worse, they can violate critical process constraints. Hence, mod ...

ELSEVIER SCIENCE BV2018

Hierarchical distributed ADMM for predictive control with applications in power networks

Timm Faulwasser

2018

Optimal Load Sharing for Serial Compressors via Modifier Adaptation

Dominique Bonvin, Timm Faulwasser, Predrag Milosavljevic, René Uwe Schneider

This paper investigates the optimal load-sharing problem of serial gas compressors in the presence of plant-model mismatch. The problem is formulated as a static real-time optimization task that is solved via modifier adaptation for interconnected systems. ...

IEEE2018

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

Dominique Bonvin, Colin Neil Jones, Timm Faulwasser, Tafarel de Avila Ferreira, Harsh Ambarishkumar Shukla

In the context of static real-time optimization, the use of measurements allows dealing with uncertainty in the form of plant-model mismatch and disturbances. Modifier adaptation (MA) is a measurement-based scheme that uses first-order corrections to the m ...

IEEE2018

Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty

Dominique Bonvin, Alejandro Gabriel Marchetti, Martand Singhal, Timm Faulwasser

In the context of real-time optimization, modifier-adaptation schemes use estimates of the plant gradients to achieve plant optimality despite plant-model mismatch. Plant feasibility is guaranteed upon convergence, but not at the successive operating point ...

Pergamon-Elsevier Science Ltd2017

Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot

Timm Faulwasser, Tobias Weber

Many robotic applications, such as milling, gluing, or high precision measurements, require the precise following of a predefined geometric path. We investigate the real-time feasible implementation of model predictive path-following control for an industr ...

Institute of Electrical and Electronics Engineers2017

Model Predictive Path-Following Control for Airborne Wind Energy Systems

Colin Neil Jones, Timm Faulwasser, Sanket Sanjay Diwale

2017

Distributed AC Optimal Power Flow Using ALADIN

Timm Faulwasser, Yuning Jiang

2017

Predictive Path Following of Mobile Robots without Stabilizing Terminal Constraints

Timm Faulwasser

2017

A feasible-side globally convergent modifier-adaptation scheme

Dominique Bonvin, Alejandro Gabriel Marchetti, Timm Faulwasser

In the context of static real-time optimization (RTO) of uncertain plants, the standard modifier-adaptation scheme consists in adding first-order correction terms to the cost and constraint functions of a model based optimization problem. If the algorithm ...

Elsevier Sci Ltd2017

On Solving Probabilistic Load Flow for Radial Systems using Polynomial Chaos

Timm Faulwasser

2017

On turnpike and dissipativity properties of continuous-time optimal control problems

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

This paper investigates the relations between three different properties, which are of importance in optimal control problems: dissipativity of the underlying dynamics with respect to a specific supply rate, optimal operation at steady state, and the turnp ...

Pergamon-Elsevier Science Ltd2017

A model for brain life history evolution

Timm Faulwasser, Laurent Lehmann

Complex cognition and relatively large brains are distributed across various taxa, and many primarily verbal hypotheses exist to explain such diversity. Yet, mathematical approaches formalizing verbal hypotheses would help deepen the understanding of brain ...

Public Library Science2017

Incipient Actuator Fault Handling in Nonlinear Model Predictive Control

Colin Neil Jones, Timm Faulwasser

2017

Improved Directional Derivatives for Modifier-Adaptation Schemes

Dominique Bonvin, Alejandro Gabriel Marchetti, Martand Singhal, Timm Faulwasser

The modifier-adaptation methodology enables real-time optimization (RTO) of plant operation in the presence of considerable plant-model mismatch. It requires the estimation of plant gradients. Obtaining these gradients is expensive as it involves potential ...

2017