Adaptive fuzzy control of leader-follower high-order nonlinear multi-agent systems with actuator faults

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Abstract

In this paper, we aim to develop a set of distributed adaptive fuzzy controllers for a group of uncertain nonlinear high-order multi-agent systems in the presence of actuator faults. Firstly, a pre-filter is designed which can derive the state space representation to a newly constructed plant. Design of the control variable will be provided by making certain modifications on traditional backstepping technique with the aid of adaptive control, fuzzy control and a second-order sliding mode estimator. It shows that the effects due to actuator faults, external disturbances and the uncertainties of the model can be compensated with the proposed scheme, and the global boundedness of the tracking errors can also be ensured.

Original languageEnglish
Title of host publicationProceedings - 15th International Symposium on Parallel and Distributed Computing, ISPDC 2016
EditorsRiqing Chen, Dan Grigoras, Chunming Rong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-339
Number of pages6
ISBN (Electronic)9781509041527
DOIs
Publication statusPublished - 18 Apr 2017
Event15th International Symposium on Parallel and Distributed Computing, ISPDC 2016 - Fuzhou, Fujian, China
Duration: 8 Jul 201610 Jul 2016

Publication series

NameProceedings - 15th International Symposium on Parallel and Distributed Computing, ISPDC 2016

Conference

Conference15th International Symposium on Parallel and Distributed Computing, ISPDC 2016
Country/TerritoryChina
CityFuzhou, Fujian
Period8/07/1610/07/16

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