Neural dynamic surface hypersonic flight control using minimal-learning- parameter technique

Bin Xu, Lin Yu, Shixing Wang, Xiaoqing Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents dynamic surface control for longitudinal dynamics of a generic hypersonic flight vehicle in presence of unknown dynamics. For the attitude subsystem, the minimal-learning-parameter technique is combined with dynamic surface design. The uniform ultimate boundedness stability is guaranteed via Small-gain Theorem. The singularity problem is removed and the simpler adaptive algorithm is easy to implement since the online updating computation burden is greatly reduced. Simulation result shows the feasibility of the proposed method.

Original languageEnglish
Title of host publication2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
PublisherIEEE Computer Society
Pages960-966
Number of pages7
ISBN (Print)9781479923762
DOIs
StatePublished - 2014
Event2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Orlando, FL, United States
Duration: 27 May 201430 May 2014

Publication series

Name2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings

Conference

Conference2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
Country/TerritoryUnited States
CityOrlando, FL
Period27/05/1430/05/14

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