Delayed feedback attitude control using neural networks and Lyapunov-Krasovskii functionals

Ehsan Samiei, Morad Nazari, Eric A. Butcher, Hanspeter Schaub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


This paper addresses the regulation control and stabilization problem of spacecraft attitude dynamics when there exists an unknown constant discrete delay in the measurements. Radial basis function neural networks are used to approximate the kinematics and inertial nonlinearities while a back propagation algorithm is employed to update neural network weights. By employing a Lyapunov- Krasovskii functional, a delay independent stability condition is obtained in terms of a linear matrix inequality, the solution of which gives the suitable controller gains. Finally, to show the effectiveness of the proposed controller, a set of simulations are performed and the results of the proposed control strategy are compared with results obtained using the method for delayed attitude control suggested by Ailon et al.1.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2012 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the 22nd AAS/AIAA Space Flight Mechanics Meeting
Number of pages18
StatePublished - 2012
Event22nd AAS/AIAA Space Flight Mechanics Meeting - Charleston, SC, United States
Duration: Feb 2 2012Feb 2 2012

Publication series

NameAdvances in the Astronautical Sciences
ISSN (Print)0065-3438


Other22nd AAS/AIAA Space Flight Mechanics Meeting
Country/TerritoryUnited States
CityCharleston, SC

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


Dive into the research topics of 'Delayed feedback attitude control using neural networks and Lyapunov-Krasovskii functionals'. Together they form a unique fingerprint.

Cite this