Artificial basis functions in adaptive control for transient performance improvement

Tansel Yucelen, Eric N. Johnson

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

11 Scopus citations

Abstract

This paper presents a new adaptive control architecture to achieve stabilization and command following of uncertain dynamical systems with improved transient performance. The proposed framework is predicated on a new and novel controller architecture involving an artificial basis function in the update law. Specifically, the proposed artificial basis function allows to shape the system error, which is between the uncertain dynamical system and a reference system capturing a desired closed-loop dynamical system behavior, during the learning phase of an adaptive controller for improving the transient performance. The efficacy of the proposed architecture is illustrated on a numerical example.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control (GNC) Conference
StatePublished - Sep 16 2013
EventAIAA Guidance, Navigation, and Control (GNC) Conference - Boston, MA, United States
Duration: Aug 19 2013Aug 22 2013

Publication series

NameAIAA Guidance, Navigation, and Control (GNC) Conference

Other

OtherAIAA Guidance, Navigation, and Control (GNC) Conference
CountryUnited States
CityBoston, MA
Period8/19/138/22/13

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Yucelen, T., & Johnson, E. N. (2013). Artificial basis functions in adaptive control for transient performance improvement. In AIAA Guidance, Navigation, and Control (GNC) Conference (AIAA Guidance, Navigation, and Control (GNC) Conference).