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Finite-Time State Estimation for Nonlinear Systems Based on Event-Triggered Mechanism

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Abstract

In this paper, the finite-time state estimation problem is studied for nonlinear systems. For reducing the waste of resources which is caused by data transmission, an event-triggered mechanism is adopted to release the measurement output of nonlinear systems to the estimator when the triggered function is satisfied. The error system is obtained by estimating the state of nonlinear systems. We obtain the finite-time bounded criterion of the error system according to the Lyapunov stability theory and the finite-time bounded theory. At last, the effectiveness of the proposed results is proved by two examples.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China (61673257; 11501367; 61573095) and the China Postdoctoral Science Foundation (2019M661322).

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Authors and Affiliations

  1. College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China

    Yinghao Tong & Dongbing Tong

  2. College of Information Sciences and Technology, Donghua University, Shanghai, 200051, China

    Qiaoyu Chen & Wuneng Zhou

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  1. Yinghao Tong
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  2. Dongbing Tong
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  3. Qiaoyu Chen
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  4. Wuneng Zhou
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Correspondence to Dongbing Tong.

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Tong, Y., Tong, D., Chen, Q. et al. Finite-Time State Estimation for Nonlinear Systems Based on Event-Triggered Mechanism. Circuits Syst Signal Process 39, 3737–3757 (2020). https://doi.org/10.1007/s00034-019-01334-4

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