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Event-triggered fault detection for nonlinear discrete-time switched stochastic systems: a convex function method

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  • Special Focus on Control and Analysis for Stochastic Systems
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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 61973315, 6210022349), the K. C. Wong Education Foundation, the Fundamental Research Funds for the Central Universities of China (Grant No. 20CX06105A), and the China Postdoctoral Science Foundation (Grant No. 2021M693503).

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Correspondence to Dongya Zhao.

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Conclusion

This study discussed a fault detection filter design for switching nonlinear stochastic systems using the event-triggered strategy. To simultaneously enhance the interference suppression ability and fault sensitivity of the fault-detection mechanism, a weighted mixed H/H fault detection filter was proposed. By choosing the convex Lyapunov function method and defining appropriate difference operators, we have researched the desired fault-detection filter and provided a sufficient condition about the existence in Theorem 1. The proposed results can be extended to many directions, such as systems with packed loss [5] and multiple nonlinear systems [6, 7].

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Jiang, X., Zhao, D. Event-triggered fault detection for nonlinear discrete-time switched stochastic systems: a convex function method. Sci. China Inf. Sci. 64, 200204 (2021). https://doi.org/10.1007/s11432-021-3296-7

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  • DOI: https://doi.org/10.1007/s11432-021-3296-7

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