Volume 9 Number 2
April 2012
Article Contents
Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 9, no. 2, pp. 135-141, 2012. doi: 10.1007/s11633-012-0626-4
Cite as: Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 9, no. 2, pp. 135-141, 2012. doi: 10.1007/s11633-012-0626-4

Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems

  • Received: 2011-04-30
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems

Abstract: This paper proposes an adaptive neural network control method for a class of perturbed strict-feedback nonlinear systems with unknown time delays. Radial basis function neural networks are used to approximate unknown intermediate control signals. By constructing appropriate Lyapunov-Krasovskii functionals, the unknown time delay terms have been compensated. Dynamic surface control technique is used to overcome the problem of explosion of complexity in backstepping design procedure. In addition, the semiglobal uniform ultimate boundedness of all the signals in the closed-loop system is proved. A main advantage of the proposed controller is that both problems of curse of dimensionality and explosion of complexity are avoided simultaneously. Finally, simulation results are presented to demonstrate the effectiveness of the approach.

Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 9, no. 2, pp. 135-141, 2012. doi: 10.1007/s11633-012-0626-4
Citation: Adaptive Neural Network Dynamic Surface Control for Perturbed Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 9, no. 2, pp. 135-141, 2012. doi: 10.1007/s11633-012-0626-4
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