Publications related to Signal-flow graph

Graph-based structures in data science

State-of-the-art data analysis tools have to deal with high-dimensional data. Fortunately, the inherent dimensionality of data is often much smaller, as it has an internal structure limiting its degrees of freedom. In most cases, this structure can be appr ...

EPFL2017

Nonlinear Model Predictive Control for Constrained Output Path Following

Timm Faulwasser

We consider the tracking of geometric paths in output spaces of nonlinear systems subject to input and state constraints without pre-specified timing requirements. Such problems are commonly referred to as constrained output path-following problems. Specif ...

Institute of Electrical and Electronics Engineers2016

Multimodal Haptic Device, System, and Method of Using the Same

Giulio Rognini, Simon Gallo, Tobias Lukas Rolf Bützer

A multimodal haptic device operating as a closed-loop system, the device including a pipeline configured to allow a closed-loop flow of a fluid medium, a manifold operatively connected to the pipeline, the manifold having a pump and a valve to control and ...

2016

Hardware-in-the-loop Validation of the Grid Explicit Congestion Notification Mechanism for Primary Voltage Control in Active Distribution Networks

Jean-Yves Le Boudec, Mario Paolone, Marco Pignati, Konstantina Christakou, Styliani Sarri, Roman Rudnik

The Grid Explicit Congestion Notification control mechanism (GECN) is a broadcast-based real-time demand- response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has ind ...

Università degli Studi di Genova, Italy2016

Laplacian Matrix Learning for Smooth Graph Signal Representation

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

The construction of a meaningful graph plays a crucial role in the emerging field of signal processing on graphs. In this paper, we address the problem of learning graph Laplacians, which is similar to learning graph topologies, such that the input data fo ...

2015

From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

Zlatko Emedi

This thesis focuses on the development of some fixed-order controller design methods in the gain-scheduling/Linear Parameter Varying (LPV) framework. Gain-scheduled controllers designed using frequency-domain Single Input Single Output (SISO) models are co ...

EPFL2014

Open-loop control of a separated boundary layer

François Gallaire, Edouard Boujo

Linear optimal gains

G_{opt}(\omega)

are computed for the separated boundary-layer flow past a two-dimensional bump in the subcritical regime. Very large values are found, making it possible for small-amplitude noise to be strongly amplified and to desta ...

Elsevier France-Editions Scientifiques Medicales Elsevier2014

Modifier Adaptation for Constrained Closed-Loop Systems

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti, Sean Costello

The steady advance of computational methods makes model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. An iterative optimization method called "modifier adaptation" ov ...

2014

Fixed-order H-infinity and H-2 Controller Design for Continuous-time Polytopic Systems: An LMI-based Approach

Alireza Karimi

In this paper, a new approach for fixed-order H-infinity and H-2 dynamic output-feedback controller design of continuous-time systems with state space polytopic uncertainty is proposed. This approach is based on the use of some instrumental matrices, which ...

Ieee2013

Open-loop control of noise amplification in separated boundary layers

François Gallaire, Edouard Boujo

Linear optimal gains are computed for the subcritical two-dimensional separated boundary-layer flow past a bump. Very large optimal gain values are found, making it possible for small-amplitude noise to be strongly amplified and to destabilize the flow. Th ...

2013

Signal-flow graph

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Graph-based structures in data science

Nonlinear Model Predictive Control for Constrained Output Path Following

Multimodal Haptic Device, System, and Method of Using the Same

Hardware-in-the-loop Validation of the Grid Explicit Congestion Notification Mechanism for Primary Voltage Control in Active Distribution Networks

Laplacian Matrix Learning for Smooth Graph Signal Representation

From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

Open-loop control of a separated boundary layer

Modifier Adaptation for Constrained Closed-Loop Systems

Fixed-order H-infinity and H-2 Controller Design for Continuous-time Polytopic Systems: An LMI-based Approach

Open-loop control of noise amplification in separated boundary layers

Nonlinear Model Predictive Control for Constrained Output Path Following

Fixed-order H-infinity and H-2 Controller Design for Continuous-time Polytopic Systems: An LMI-based Approach

Hardware-in-the-loop Validation of the Grid Explicit Congestion Notification Mechanism for Primary Voltage Control in Active Distribution Networks

Graph-based structures in data science

Modifier Adaptation for Constrained Closed-Loop Systems

Multimodal Haptic Device, System, and Method of Using the Same

Laplacian Matrix Learning for Smooth Graph Signal Representation

From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

Open-loop control of noise amplification in separated boundary layers

Open-loop control of a separated boundary layer