Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Scholalry Output
  3. Publications
  4. Selective Tracking Using Linear Trackability Analysis and Inversion-based Tracking Control
 
  • Details

Selective Tracking Using Linear Trackability Analysis and Inversion-based Tracking Control

Source
Proceedings of the American Control Conference
ISSN
07431619
Date Issued
2020-07-01
Author(s)
Kadam, Sujay D.
Rao, Aishwarya
Prusty, Biswajit
Palanthandalam-Madapusi, Harish J.  
DOI
10.23919/ACC45564.2020.9147897
Volume
2020-July
Abstract
Trackability is the ability of a system to follow arbitrary reference commands and is equivalent to a system being right invertible. For systems that are trackable, feedforward inversion-based control (along with an additional feedback loop) is a common method to achieve tracking. In this paper, we focus on trackability for linear discrete-time MIMO systems and examine the idea of selective tracking that is particularly useful when a system is not trackable but it is possible to track either certain subsets of outputs or certain combinations of them. We show that tracking each component of the output vector can be assigned a priority within the context of an inversion-based controller to provide significant flexibility in selectively tracking outputs of interest even when the system as a whole is untrackable. We further demonstrate various aspects of trackability theory and selective tracking through a few simulation examples including a quadrotor example.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/24091
IITGN Knowledge Repository Developed and Managed by Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify