Abstract: Deep neural networks have achieved exceptional performance across a wide range of applications but remain susceptible to adversarial attacks. While most prior research has focused on ...
Abstract: This work proposes an event-triggered adaptive control approach for a class of uncertain nonlinear systems under irregular constraints. Unlike the constraints considered in most existing ...
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