Studied on anti-interference based on dynamic surface control

The longitudinal control of NSV (Nearspace Vehicle) under uncertainty is studied. An approach of backstepping control based on adaptive dynamic surface is proposed. RBFNN is used to approximate the unknown compound disturbance and the robust item is introduced into the virtual controller to cancel t...

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Published inProceedings of the 10th World Congress on Intelligent Control and Automation pp. 996 - 998
Main Authors Qian Gao, Naibao He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
Adaptive control
Compounds
Dynamic Surface Control
Neural networks
Nonlinear systems
Observers
Robustness
Vehicle dynamics
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Abstract The longitudinal control of NSV (Nearspace Vehicle) under uncertainty is studied. An approach of backstepping control based on adaptive dynamic surface is proposed. RBFNN is used to approximate the unknown compound disturbance and the robust item is introduced into the virtual controller to cancel the influence of compound disturbance and improve the robustness and adaptation of the system. Simulation results show that the proposed strategy possesses good robustness and briefness.
AbstractList The longitudinal control of NSV (Nearspace Vehicle) under uncertainty is studied. An approach of backstepping control based on adaptive dynamic surface is proposed. RBFNN is used to approximate the unknown compound disturbance and the robust item is introduced into the virtual controller to cancel the influence of compound disturbance and improve the robustness and adaptation of the system. Simulation results show that the proposed strategy possesses good robustness and briefness.
Author Naibao He
Qian Gao
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  email: henaibao@126.com
  organization: Huaihai Inst. of Technol., Lianyungang, China
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Snippet The longitudinal control of NSV (Nearspace Vehicle) under uncertainty is studied. An approach of backstepping control based on adaptive dynamic surface is...
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SubjectTerms Adaptive control
Compounds
Dynamic Surface Control
Neural networks
Nonlinear systems
Observers
Robustness
Vehicle dynamics
Title Studied on anti-interference based on dynamic surface control
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