Novel ℒ1 adaptive control approach to autonomous aerial refueling with guaranteed transient performance

Jiang Wang, Chengyu Cao, Naira Hovakimyan, Eugene Lavretsky

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

Abstract

Autonomous aerial refueling autopilot design is addressed in this paper using a novel ℒ1 neural network based adaptive control approach. The main advantage of the new approach is its ability to guarantee transient performance with desired specifications for system's both input and output signals by systematic choice of design parameters. Simulation results for a fighter aircraft model illustrate the benefits of this control approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 American Control Conference
Pages3569-3574
Number of pages6
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Other

Other2006 American Control Conference
CountryUnited States
CityMinneapolis, MN
Period6/14/066/16/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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