Publications related to Homogeneous differential equation

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

Nonlinear dynamical systems have been used in many disciplines to model complex behaviors, including biological motor control, robotics, perception, economics, traffic prediction, and neuroscience. While often the unexpected emergent behavior of nonlinear ...

Massachusetts Institute of Technology Press2013

On the Asymptotic Validity of the Decoupling Assumption for Analyzing 802.11 MAC Protocol

Jean-Yves Le Boudec

Performance evaluation of the 802.11 MAC protocol is classically based on the decoupling assumption, which hypothesizes that the backoff processes at different nodes are independent. This decoupling assumption results from mean field convergence and is gen ...

Institute of Electrical and Electronics Engineers2012

Development and validation of a tokamak skin effect transformer model

Stefano Coda, Jean-Marc Moret, Federico Alberto Alfredo Felici

A lumped parameter, state space model for a tokamak transformer including the slow flux penetration in the plasma (skin effect transformer model) is presented. The model does not require detailed or explicit information about plasma profiles or geometry. I ...

2012

Simultaneous or incremental identification of reaction systems ?

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Identification of kinetic models is essential for monitoring, control and optimization of industrial processes. Robust kinetic models are often based on first-principles and described by differential equations. Identification of reaction kinetics, namely r ...

2012

State Estimation of Active Distribution Networks: Comparison Between WLS and Iterated Kalman-Filter Algorithm Integrating PMUs

Mario Paolone, Carlo Alberto Nucci, Styliani Sarri

One of the challenging tasks related to the realtime control of Active Distribution Networks (ADNs) is represented by the development of fast (i.e. sub-second) state estimation (SE) processes. As known, the problem of SE of power networks links the measure ...

IEEE Power Engineering Society and Technische Universität Berlin, Germany2012

Mean Field for Markov Decision Processes: from Discrete to Continuous Optimization

Jean-Yves Le Boudec, Nicolas Gabriel Gast

We study the convergence of Markov decision processes, composed of a large number of objects, to optimization problems on ordinary differential equations. We show that the optimal reward of such a Markov decision process, which satisfies a Bellman equation ...

Institute of Electrical and Electronics Engineers2012

Untrusting network coding

Ghid Maatouk, Christina Fragouli, Vinod Malathidevi Prabhakaran, Yasin Buyukalp

In networks that perform linear network coding, an intermediate network node may receive a much larger number of linear equations of the source symbols than the number of messages it needs to send. For networks constructed by untrusted nodes, we propose a ...

2012

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

Edoardo Charbon, John Richard Walker, Marek Gersbach, Matthew Fishburn

We report on the design and characterization of a novel time-resolved image sensor fabricated in a 130 nm CMOS process. Each pixel within the 32x32 pixel array contains a low-noise single-photon detector and a high-precision time-to-digital converter (TDC) ...

2012

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Homogeneous differential equation

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

On the Asymptotic Validity of the Decoupling Assumption for Analyzing 802.11 MAC Protocol

Development and validation of a tokamak skin effect transformer model

Effective Enrichment of Gene Expression Data Sets

Simultaneous or incremental identification of reaction systems ?

State Estimation of Active Distribution Networks: Comparison Between WLS and Iterated Kalman-Filter Algorithm Integrating PMUs

Mean Field for Markov Decision Processes: from Discrete to Continuous Optimization

Untrusting network coding

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

Splitting Methods with Modified Potentials and Application to the Damped Wave Equation

Graph Chatbot

Chat with Graph Search

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

Mean Field for Markov Decision Processes: from Discrete to Continuous Optimization

Effective Enrichment of Gene Expression Data Sets

On the Asymptotic Validity of the Decoupling Assumption for Analyzing 802.11 MAC Protocol

Development and validation of a tokamak skin effect transformer model

Simultaneous or incremental identification of reaction systems ?

Untrusting network coding

State Estimation of Active Distribution Networks: Comparison Between WLS and Iterated Kalman-Filter Algorithm Integrating PMUs

Splitting Methods with Modified Potentials and Application to the Damped Wave Equation