Open AccessRobust adaptive radial wavelet neural network control for chaotic systems using backstepping design
Author(s) -
Miao Zhi-Qiang,
Yaonan Wang
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.030503
Subject(s) - backstepping , robustness (evolution) , parametric statistics , computer science , control theory (sociology) , nonlinear system , adaptive control , artificial neural network , robust control , wavelet , control engineering , control (management) , artificial intelligence , mathematics , engineering , physics , biochemistry , chemistry , statistics , quantum mechanics , gene
This paper designs an adaptive and robustness backstepping control law to realize the control of Rossler-like systems of uncertainties. First, a wavelet network is used for the identification the nonlinear part of the system to change it into parametric model with parametric and structural uncertainties; Then, for the parameter uncertainties, an adaptive control law is designed to online estimate the unknown parameters; for the structural uncertainties, a robust control law is designed to make the system robustness. Finally, The effective of this methodology is illustrated by the simulation results.