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Linear Parameter Varying Iterative Learning Control

Publications associées (96)

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Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach

Giancarlo Ferrari Trecate, Marcello Farina

In this paper, we propose a novel distributed fault detection method to monitor the state of a-possibly large scale-linear system, partitioned into interconnected subsystems. The approach hinges on the definition of a partition-based distributed Luenberger ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Teaching Measurement Fundamentals

Guglielmo Frigo

While it has always been true that measurements are made to guide decision-making, there is abundant evidence that not all measurement results are meaningful. We give examples of fully-functional, tested and trusted measurement systems producing nonsensica ...

IEEE2018

Nuclear quantum effects enter the mainstream

Michele Ceriotti

Atomistic simulations of chemical, biological and materials systems have become increasingly precise and predictive owing to the development of accurate and efficient techniques that describe the quantum mechanical behaviour of electrons. Nevertheless, the ...

2018

Shape from bandwidth: the 2-D orthogonal projection case

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield

Could bandwidth—one of the most classic concepts in signal processing—have a new purpose? In this paper, we investigate the feasibility of using bandwidth to infer shape from a single image. As a first analysis, we limit our attention to orthographic proje ...

Ieee2017

Molecular Structure Inhibiting Synergism in Charged Surfactant Mixtures: An Atomistic Molecular Dynamics Simulation Study

Satoshi Takahama, Mária Lbadaoui-Darvas

Synergistic and nonsynergistic surfactant-water mixtures of sodium dodecyl sulfate (SDS), lauryl betaine (C12B), and cocoamidopropyl betaine (CAPB) systems are studied using molecular simulation to understand the role of interactions among headgroups, tail ...

American Chemical Society2017

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

Ladislav Kavan, Sofien Bouaziz

We present a new method for real-time physics-based simulation supporting many different types of hyperelastic materials. Previous methods such as Position-Based or Projective Dynamics are fast but support only a limited selection of materials; even classi ...

Association for Computing Machinery2017

Exact simulation of max-stable processes

Sebastian Engelke, Clément Dombry

Max-stable processes play an important role as models for spatial extreme events. Their complex structure as the pointwise maximum over an infinite number of random functions makes their simulation difficult. Algorithms based on finite approximations are o ...

Oxford University Press2016

Modelling of plasmonic systems

Raziman Thottungal Valapu

Metallic nanostructures interact in complex ways with light, forming the subject of plasmonics and bringing novel physical phenomena and practical applications. The fundamental and practical importance of plasmonics necessitates the development of a multit ...

EPFL2016

Molecular dynamics at constant Cauchy stress

Ronald Earle Miller, Fabio Pavia

The Parrinello-Rahman algorithm for imposing a general state of stress in periodic molecular dynamics simulations is widely used in the literature and has been implemented in many readily available molecular dynamics codes. However, what is often overlooke ...

American Institute of Physics2016

Multimodel Approach to the Optical Properties of Molecular Dyes in Solution

Iurii Timrov

We introduce a multimodel approach to the simulation of the optical properties of molecular dyes in solution, whereby the effects of thermal fluctuations and of dielectric screening on the absorption spectra are accounted for by explicit and implicit solva ...

Amer Chemical Soc2016