Publications associées à Model Predictive Control: Ideas for the next Generation

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

Florian Karl Richter

A set

R\subset \mathbb{N}

is called rational if it is well approximable by finite unions of arithmetic progressions, meaning that for every

\unicode[STIX]{x1D716}>0

there exists a set

B=\bigcup _{i=1}^{r}a_{i}\mathbb{N}+b_{i}

, where $a_{1},\ldots ,a_ ...

2019

Model Predictive Control: Ideas for the next Generation

Graph Chatbot

Chattez avec Graph Search

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Learning the Exciton Properties of Azo-dyes

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Atomistic modeling of the solid-liquid interface of metals and alloys

Digital Design with Implicit State Machines

Multiplicative combinatorial properties of return time sets in minimal dynamical systems

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

Role of the electron-phonon coupling on the thermal boundary conductance of metal/diamond interfaces with nanometric interlayers

Spectral gaps of frustration-free spin systems with boundary

Digital Design with Implicit State Machines

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Atomistic modeling of the solid-liquid interface of metals and alloys

Multiplicative combinatorial properties of return time sets in minimal dynamical systems

Rationally almost periodic sequences, polynomial multiple recurrence and symbolic dynamics

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Learning the Exciton Properties of Azo-dyes

Spectral gaps of frustration-free spin systems with boundary

Role of the electron-phonon coupling on the thermal boundary conductance of metal/diamond interfaces with nanometric interlayers