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Volume 10 Issue 12
Dec.  2023

IEEE/CAA Journal of Automatica Sinica

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M. Yao and  G. L. Wei,  “Dynamic event-triggered control of continuous-time systems with random impulses,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 12, pp. 2292–2299, Dec. 2023. doi: 10.1109/JAS.2023.123534
Citation: M. Yao and  G. L. Wei,  “Dynamic event-triggered control of continuous-time systems with random impulses,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 12, pp. 2292–2299, Dec. 2023. doi: 10.1109/JAS.2023.123534

Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses

doi: 10.1109/JAS.2023.123534
Funds:  This work was supported in part by the National Natural Science Foundation of China (62273239)
More Information
  • In this paper, the networked control problem under event-triggered schemes is considered for a class of continuous-time linear systems with random impulses. In order to save communication costs and lighten communication burden, a dynamic event-triggered scheme whose threshold parameter is dynamically adjusted by a given evolutionary rule, is employed to manage the transmission of data packets. Moreover, the evolution of the threshold parameter only depends on the sampled measurement output, and hence eliminates the influence of impulsive signals on the event-triggered mechanism. Then, with the help of a stochastic analysis method and Lyapunov theory, the existence conditions of desired controller gains are received to guarantee the corresponding input-to-state stability of the addressed system. Furthermore, according to the semi-definite programming property, the desired controller gains are calculated by resorting to the solution of three linear matrix inequalities. In the end, the feasibility and validity of the developed control strategy are verified by a simulation example.


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    • In this paper, dynamic event-triggered-based networked control issue has been firstly studied for a class of continuous-time systems with random impulses
    • The designed event-triggering mechanism effectively reduces the frequency of communication and is only related to the sampling output
    • The results obtained are related to the event-triggering parameters, indicating that the event-triggering mechanism has an influence on the stability of the system
    • For practical applications, an algorithm is designed that can calculate the corresponding controller gain


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