Neural adaptive compensation control for a class of MIMO affine uncertain nonlinear systems with actuator failures

A new neural adaptive compensation control approach for a class of multi-input multi-output (MIMO) uncertain nonlinear systems with actuator failures is proposed in this paper. In order to enlarge the set of compensable actuator failures, an actuator grouping scheme based on multiple model switching...

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Bibliografische gegevens
Hoofdauteurs: Shao-jie Zhang, Xiang-wei Qiu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Taylor & Francis Group 2018-01-01
Reeks:Systems Science & Control Engineering
Onderwerpen:
MIMO nonlinear systems
actuator failure
neural networks
MMST
backstepping control
PPB
adaptive compensation control
Online toegang:http://dx.doi.org/10.1080/21642583.2018.1428697
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