Volume 8 Number 4
November 2011
Article Contents
Chun-Li Zhang and Jun-Min Li. Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network. International Journal of Automation and Computing, vol. 8, no. 4, pp. 403-410, 2011. doi: 10.1007/s11633-011-0597-x
Cite as: Chun-Li Zhang and Jun-Min Li. Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network. International Journal of Automation and Computing, vol. 8, no. 4, pp. 403-410, 2011. doi: 10.1007/s11633-011-0597-x

Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network

  • Received: 2010-08-14
Fund Project:

This work was supported by National Natural Science Foundation of China (No.72103676) (partially supported by the Fundamental Research Funds for the Central Universities).

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network

Fund Project:

This work was supported by National Natural Science Foundation of China (No.72103676) (partially supported by the Fundamental Research Funds for the Central Universities).

Abstract: An adaptive iterative learning control scheme is presented for a class of strict-feedback nonlinear time-delay systems, with unknown nonlinearly parameterised and time-varying disturbed functions of known periods. Radial basis function neural network and Fourier series expansion (FSE) are combined into a new function approximator to model each suitable disturbed function in systems. The requirement of the traditional iterative learning control algorithm on the nonlinear functions (such as global Lipschitz condition) is relaxed. Furthermore, by using appropriate Lyapunov-Krasovskii functionals, all signs in the closed loop system are guaranteed to be semiglobally uniformly ultimately bounded, and the output of the system is proved to converge to the desired trajectory. A simulation example is provided to illustrate the effectiveness of the control scheme.

Chun-Li Zhang and Jun-Min Li. Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network. International Journal of Automation and Computing, vol. 8, no. 4, pp. 403-410, 2011. doi: 10.1007/s11633-011-0597-x
Citation: Chun-Li Zhang and Jun-Min Li. Adaptive Iterative Learning Control for Nonlinear Time-delay Systems with Periodic Disturbances Using FSE-neural Network. International Journal of Automation and Computing, vol. 8, no. 4, pp. 403-410, 2011. doi: 10.1007/s11633-011-0597-x
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