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Observer-based event-triggered tracking control for large-scale high order nonlinear uncertain systems

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Abstract

The event-triggered tracking control for large-scale high order nonlinear uncertain systems, whose state information is immeasurable, is investigated via an observer-based approach. Firstly, a neural observer is designed to estimate the unmeasurable state information of high order nonlinear systems. Then, a relative threshold event-triggered strategy is proposed to reduce the communication burden between the actuator and the controller. On this basis, a novel observer-based adaptive event-triggered controller is designed to achieve the output tracking of the reference trajectory via the backstepping technique. Theoretical proof shows that the proposed controller guarantees the stability of the closed-loop systems and the Zeno-behavior can be excluded. Finally, some simulation examples are performed to illustrate the effectiveness of the proposed method.

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Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (No. 61803040), the key research and development plan of Shaanxi Province (No. 2019GY-218), China Postdoctoral Science Foundation (No. 2018M643556), and the Fundamental Research Funds for the Central University of China (Nos. 300102320203, 300102320720 and 300102328403).

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Authors and Affiliations

  1. School of Electronics and Control Engineering, Chang’an University, Xi’an, China

    Panpan Yang, Xingwen Chen & Jiacheng Song

  2. School of Information Engineering, Chang’an University, Xi’an, China

    Xiangmo Zhao

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  1. Panpan Yang
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Correspondence to Panpan Yang.

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Yang, P., Chen, X., Zhao, X. et al. Observer-based event-triggered tracking control for large-scale high order nonlinear uncertain systems. Nonlinear Dyn 105, 3299–3321 (2021). https://doi.org/10.1007/s11071-021-06805-5

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