Publications associées à Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

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.

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Maryam Kamgarpour, Luca Furieri, Na Li

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Graph Chatbot

Chattez avec Graph Search

Memory of Motion for Initializing Optimization in Robotics

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Learning Robustly Safe Output Feedback Controllers from Noisy Data with Performance Guarantees

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Sparsity Invariance for Convex Design of Distributed Controllers

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

A data-driven approach to model-reference control with applications to particle accelerator power converters

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

Robust control for an electromagnetic actuator for a camless engine

Memory of Motion for Initializing Optimization in Robotics

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

Sparsity Invariance for Convex Design of Distributed Controllers

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

A data-driven approach to model-reference control with applications to particle accelerator power converters

Robust control for an electromagnetic actuator for a camless engine

Learning Robustly Safe Output Feedback Controllers from Noisy Data with Performance Guarantees

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation