Publications related to Automatic Laboratory 1

The not so identical twins: (dis)similarities between reactive electrophile and oxidant sensing and signaling

In this tutorial review, we compare and contrast the chemical mechanisms of electrophile/oxidant sensing, and the molecular mechanisms of signal propagation. We critically analyze biological systems in which these different pathways are believed to be mani ...

ROYAL SOC CHEMISTRY2021

Bio-inspired standing balance controller for a full-mobilization exoskeleton

Mohamed Bouri, Jemina Fasola, Tristan Hubert Vouga, Romain Pierre François Baud

The invention concerns a method of performing automatic standing balance of a user in a full mobilization exoskeleton with at least a foot and using at least two actuated degrees of freedom, wherein a controller uses information provided from sensors to pr ...

2021

Conditions for the emergence of circumnutations in plant roots

Dario Floreano, Ilya Loshchilov

The plant root system shows remarkably complex behaviors driven by environmental cues and internal dynamics, whose interplay remains largely unknown. A notable example is circumnutation growth movements, which are growth oscillations from side to side of t ...

2021

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Violaine Bellée

This work proposes a method to measure the photon polarisation in

B^+ \rightarrow K^+ \pi^- \pi^+ \gamma

decays and prepares the necessary elements for this measurement using the data sets collected by the LHCb experiment at CERN in

2011

,

2012

, $2016 ...

EPFL2020

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes designing the controller based on the available accurate macroscopic fundamental diagram (MFD) function with well known techniques of modern control methods. However, accurate modelin ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Modifier Adaptation as a Feedback Control Scheme

Dominique Bonvin, Alejandro Gabriel Marchetti, Sean Costello

As a real-time optimization technique, modifier adaptation (MA) has gained much significance in recent years. This is mainly due to the fact that MA can deal explicitly with structural plant-model mismatch and unknown disturbances. MA is an iterative techn ...

AMER CHEMICAL SOC2020

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes. However, accurate modeling of the traffic flow system is hard and time-consuming. On the other hand, macroscopic traffic flow patterns show heavily similarity between days, and data ...

2020

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

Petr Listov

A feedback control design is proposed for stochastic systems with finite second moment which aims at maximising the region of attraction of the equilibrium point. Polynomial Chaos (PC) expansions are employed to represent the stochastic closed loop system ...

2020

On Gaussian Process based Koopman Operator

Colin Neil Jones

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

2020

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Alireza Karimi, Seyed Sohail Madani

In this paper, a data-driven method for controller design with constraints on the positive-realness of closed-loop transfer functions over an arbitrary set of frequencies is proposed. The positive-realness of a closed-loop transfer function is represented ...

IEEE2020

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The not so identical twins: (dis)similarities between reactive electrophile and oxidant sensing and signaling

Bio-inspired standing balance controller for a full-mobilization exoskeleton

Conditions for the emergence of circumnutations in plant roots

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Modifier Adaptation as a Feedback Control Scheme

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

On Gaussian Process based Koopman Operator

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Conditions for the emergence of circumnutations in plant roots

Bio-inspired standing balance controller for a full-mobilization exoskeleton

The not so identical twins: (dis)similarities between reactive electrophile and oxidant sensing and signaling

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

On Gaussian Process based Koopman Operator

Modifier Adaptation as a Feedback Control Scheme

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems