Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, ...

Abstract: With the increasing complexity of real-world systems and varying environmental uncertainties, it is difficult to build an accurate dynamic model, which poses challenges especially for safety ...

Abstract: In the existing research on finite-time synchronization (FTS) control for fractional-order coupled neural networks (FOCNNs), signum function plays a crucial role in controller design. The ...