A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 2 Issue 4
Oct.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Xia Wang and Jun Zhao, "Logic-based Reset Adaptation Design for Improving Transient Performance of Nonlinear Systems," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 4, pp. 440-448, 2015.
Citation: Xia Wang and Jun Zhao, "Logic-based Reset Adaptation Design for Improving Transient Performance of Nonlinear Systems," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 4, pp. 440-448, 2015.

Logic-based Reset Adaptation Design for Improving Transient Performance of Nonlinear Systems

Funds:

This work was supported by National Natural Science Foundation of China (61403118, 61174073, 61233002, 11271106), the IAPI Fundamental Research Funds (201 3ZCX03-01), the Natural Science Foundation of Hebei Province (F20152010 88), and the Science and Technology Foundation of Hebei Province (QN20131 056).

  • In this paper, logic-based switching and resetting principles are presented to devise adaptive control laws for a class of uncertain nonlinear systems in order to ensure both the transient bound and the asymptotical convergence of the state. A novel supervisor is constructed to decide when to reset the estimation parameter with the pre-given estimation value. A benchmark example is presented to demonstrate the effectiveness of the approach.

     

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