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2026

Adaptive Learning-Based Resilient Automation for Switched Systems Under FDI Attacks and Actuator Faults

Automated systems operating across multiple modes increasingly rely on networked sensing and feedback, which makes them vulnerable to abrupt actuator faults and false-data-injection (FDI) attacks. This paper studies resilient estimation and control for continuous-time switched automation systems under these two coupled...

Yong-Hong Chen, Qi-Long Xie, Mei Yan et al. · 0 citations
Open access Aug 2026

ASWBoost: Classification algorithm for noisy and imbalanced data based on parametric exponential loss

AdaBoost, a classical boosting ensemble algorithm, is widely applied for its strong classification performance. However, its standard exponential loss is highly sensitive to outliers, prone to overfitting, and inherently biased toward the majority class under class-imbalanced settings, degrading overall performance. To...

Fei Meng, Mei Yan, Hang Liu et al. · 0 citations

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