Design engineers turn to linear motors for applications that demand speed, accuracy and reliability. From high-throughput ...

Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...

Abstract: For dealing with the temporally variant optimization with nonlinear equation constraints (TVONECs), a novel Zhang neural net (ZNN) model is proposed in this work. Two continuous-time ...