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Indexed by:期刊论文

Date of Publication:2022-06-28

Journal:大连理工大学学报

Volume:52

Issue:1

Page Number:100-105

ISSN No.:1000-8608

Abstract:A method of self-adaptive control for nonlinear systems based on least
   squares support vector machines(LS-SVM) dynamic inversion is
   presented.The method cascades the dynamic inversion model approximated
   by LS-SVM with the original system to get the composite pseudo-linear
   system.The on-line learning while controlling LS-SVM is used to
   self-adaptively compensate the inversion error of nonlinear systems
   which may be due to modeling uncertainties and disturbances.The updating
   rule of LS-SVM weights is derived from Lyapunov stability theory,and the
   stability of the designed system is proved.Simulation results
   demonstrate the effectiveness of the proposed method.

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