Improving uniform ultimate bounded response of neuroadaptive control approaches using command governors

Daniel Magree, Tansel Yucelen, Eric Johnson

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

Abstract

In this paper, we develop a command governor-based architecture in order to improve the response of neuroadaptive control approaches. Specifically, a command governor is a linear dynamical system that modifies a given desired command to improve transient and steady-state performance of uncertain dynamical systems. It is shown that as the command governor gain is increased, the neuroadaptive system converges to the linear reference system. Simulation results are used to validate the effectiveness of the proposed framework.

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

    Magree, D., Yucelen, T., & Johnson, E. (2013). Improving uniform ultimate bounded response of neuroadaptive control approaches using command governors. In AIAA Guidance, Navigation, and Control (GNC) Conference (AIAA Guidance, Navigation, and Control (GNC) Conference).