Back to results

University of Minnesota

Adaptive Inverse Dynamics Control Scheme of Two-Compartment Lung System

Abstract

dc:description.abstract

A study of using an adaptive inverse dynamics control technique to a two-compartment modeled respiratory system. Based on the nonlinear respiratory model and desired respiratory volumes, the adaptive inverse dynamics control scheme consisting of a control law and an adaptation law is then applied. The control law has the structure of the two-compartment inverse dynamical model but uses estimates of the dynamics parameters in the computation of pressure applied to the lungs. The adaptation law uses the tracking error to compute the parameter estimates for the control law. The preliminary results indicate that the tracking errors can be improved if the parameter values associated with the adaptation law are properly chosen, and the performance is also robust despite relatively large deviations in the initial estimates of the system parameters

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Korrapati, Sujana

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11299/188785
OAI identifier oai:identifier
oai:conservancy.umn.edu:11299/188785

Chain of custody

source
Harvested from
University of Minnesota
Base URL
conservancy.umn.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Korrapati, Sujana. Adaptive Inverse Dynamics Control Scheme of Two-Compartment Lung System. 2017. http://hdl.handle.net/11299/188785