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IEEE/CAA Journal of Automatica Sinica

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H. Liu, Q.-L. Han, and Y. Li, “Set-valued state estimation of nonlinear discrete-time systems and its application to attack detection,” IEEE/CAA J. Autom. Sinica, 2023.
Citation: H. Liu, Q.-L. Han, and Y. Li, “Set-valued state estimation of nonlinear discrete-time systems and its application to attack detection,” IEEE/CAA J. Autom. Sinica, 2023.

Set-Valued State Estimation of Nonlinear Discrete-Time Systems and Its Application to Attack Detection

Funds:  This work was partially supported by the National Natural Science Foundation of China (61703286)
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  • This paper investigates set-valued state estimation of nonlinear systems with unknown-but-bounded (UBB) noises based on constrained polynomial zonotopes which is utilized to characterize non-convex sets. First, properties of constrained polynomial zonotopes are provided and the order reduction method is given to reduce the computational complexity. Then, the corresponding improved prediction-update algorithm is proposed so that it can be adapted to non-convex sets. Based on generalized intersection, the utilization of set-based estimation for attack detection is analyzed. Finally, an example is given to show the efficiency of our results.

     

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