Lyapunov-based integration of a data recording algorithm in adaptive control

Girish Chowdhary, Eric N. Johnson

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

1 Scopus citations

Abstract

Recently we have developed concurrent learning model reference adaptive controllers which use recorded data concurrently with current data and can guarantee exponential stability of the closed loop without requiring persistency of excitation. The rate of convergence of these controllers is dependent on the quality of the recorded data, particularly the minimum singular value of the matrix containing the recorded states. In this paper, we use a Lyapunov framework to integrate a singular value maximizing data recording algorithm with concurrent learning adaptive controllers.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2011
StatePublished - Dec 1 2011
EventAIAA Guidance, Navigation and Control Conference 2011 - Portland, OR, United States
Duration: Aug 8 2011Aug 11 2011

Publication series

NameAIAA Guidance, Navigation, and Control Conference 2011

Other

OtherAIAA Guidance, Navigation and Control Conference 2011
CountryUnited States
CityPortland, OR
Period8/8/118/11/11

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Chowdhary, G., & Johnson, E. N. (2011). Lyapunov-based integration of a data recording algorithm in adaptive control. In AIAA Guidance, Navigation, and Control Conference 2011 (AIAA Guidance, Navigation, and Control Conference 2011).