Novel Variable Input Observer for High-Rate State Estimation

Abstract

Within this project, we investigated machine learning mechanisms to learn representations for high-rate dynamic systems. Research resulted in the development and implementation of a variable-input observer (VIO), both in a data-based and a hybrid configuration, and demonstrated on realistic high-rate systems. Research discoveries have been widely disseminated, and used as the foundation to ongoing and future research projects. This report summarized these discoveries and outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 26, 2022
Accession Number
AD1230423

Entities

People

  • Simon Laflamme

Organizations

  • Iowa State University

Tags

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference