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Fault-Tolerant Tracking Control for Nonstrict-Feedback Systems

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter investigates the problem of observer-based adaptive neural tracking control for nonlinear nonstrict-feedback systems in presence of the actuator fault. Neural networks are introduced to identify the unknown nonlinear characteristics. Compared with the existing results, for example.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages215-238
Number of pages24
DOIs
StatePublished - 2022

Publication series

NameStudies in Systems, Decision and Control
Volume396
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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