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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Hlavní autoři: Shao-jie Zhang, Xiang-wei Qiu
Médium: Artigo
Jazyk:Inglês
Vydáno: Taylor & Francis Group 2018-01-01
Edice:Systems Science & Control Engineering
Témata:
MIMO nonlinear systems
actuator failure
neural networks
MMST
backstepping control
PPB
adaptive compensation control
On-line přístup:http://dx.doi.org/10.1080/21642583.2018.1428697
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