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

Xia Wang; Jun Zhao

Volume 2 Issue 4

Oct. 2015

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2015 > 2(4): 440-448

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.

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.

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

Xia Wang¹,
Jun Zhao²

1. the State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang 110819, China, and also with the College of Electronic and Information Engineering, Hebei University, Baoding 071002, China;
2. the State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang 110819, China

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).

Abstract

Abstract

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.
- Logic-based switching,
- reset adaptive law,
- overadaptation,
- transient performance,
- uncertain nonlinear systems

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References(36)

References

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

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