Identification of the inertia matrix of a rotating body based on errors-in-variables models

DOI10.1002/acs.1112zbMath1298.93128OpenAlexW2098380952MaRDI QIDQ2928574

N. Harris Mcclamroch, Byung-Eul Jun, Dennis S. Bernstein

Publication date: 10 November 2014

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/65054

zbMATH Keywords

identificationerrors in variablesnonlinear identificationinertia matrixleast-correlation estimate

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems governed by ordinary differential equations (93C15)

Uses Software

• VanHuffel

Cites Work

• Unnamed Item
• Unnamed Item
• Second-order Volterra filtering and its application to nonlinear system identification
• Mass property estimation for control of asymmetrical satellites
• Mass Property Estimation Using Coasting Maneuvers
• Least‐correlation estimates for errors‐in‐variables models

This page was built for publication: Identification of the inertia matrix of a rotating body based on errors-in-variables models