Abstract
This paper investigates the event-triggered output feedback control problem for feedforward nonlinear systems with unknown measurement sensitivity. The nonlinear terms are assumed to be bounded by an unknown constant multiplied by fractional power of states and controller. We design an auxiliary system independent of the output signal to construct controller and propose a novel time-varying triggering mechanism. It is the first time to introduce the logarithmic function into the auxiliary system and state transformation to deal with event-triggered control problem. Under the designed event-triggered controller, the convergence of all states is obtained and the Zeno behavior is effectively avoided. Finally, two numerical examples are presented to demonstrate the effectiveness of the designed event-triggered controller.
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Acknowledgements
The work was supported by the Foundation for Innovative Research Groups of National Natural Science Foundation of China (61821004), the National Natural Science Foundation of China (62073190 and 61973189), the Natural Science Foundation of Shandong Province of China (ZR2018MA007), and the Research Fund for the Taishan Scholar Project of Shandong Province of China (ts20190905).
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Appendix
Appendix
In this section, the estimations for nonlinear terms of (6) and (12) are presented.
From Assumption 1 and state transformations (4) and (7), we get
where \(\sigma _{1}=\frac{n-1+\Delta }{n}\), and \(\sigma _{2}{=}\min \{\frac{3\Delta }{n}{,}\frac{(n{+}1)\Delta {-}1}{n}\}>0\), \({\hat{b}}_{1}=\max \limits _{t>0}|\theta (t)|b_{1}\), and \({\hat{b}}_{j}=b_{j}, j=2,\ldots ,n\).
By Lemmas 3 and 4, we obtain the following inequality
and we further have
With the help of
the following inequality can be obtained
where \(k_{1}=(1+\max \{{\hat{b}}_{i}\})(2n-1)n^{3}2^{1+n\sigma _{1}}\gamma {\tilde{p}}\), \(k_{2}=k_{1}L^{2n}\), \(k_{3}=k_{1}(\delta _{1} L^{n-1})^{1+\sigma _{1}}\), \({\tilde{p}}=\max \{ \sum _{i=1}^{n}|{\tilde{p}}_{1i}|, \ldots , \sum _{i=1}^{n}|{\tilde{p}}_{ni}|\}\) and \({\tilde{p}}_{ij}\) is the element of \(P_{\varepsilon }\).
Using the same method, the estimation for the nonlinear terms of (12) can be obtained as follows
where \(k_{4}=(1+\max \{{\hat{b}}_{i}\})(2n-1)n^{2}2^{1+n\sigma _{1}}\gamma p\), \(k_{5}=k_{4}L^{2n}\), \(k_{6}=k_{4}(\delta _{1} L^{n-1})^{1+\sigma _{1}}\), \(p=\max \{|p_{11}|,\ldots , |p_{n1}|\}\) and \(p_{i1}\) is the element of \(P_{z}\).
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Chang, Y., Zhang, X., Liu, S. et al. Event-triggered output feedback control for feedforward nonlinear systems with unknown measurement sensitivity. Nonlinear Dyn 104, 3781–3791 (2021). https://doi.org/10.1007/s11071-021-06501-4
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DOI: https://doi.org/10.1007/s11071-021-06501-4