Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...

Most people still imagine auto technicians as underpaid laborers, elbow-deep in grease, barely scraping by on hourly wages. So the idea that a dealership technician for a non-premium brand can earn ...

Abstract: This letter presents a nonlinear guidance scheme to address the problem of achieving precise target interception at a desired impact time against stationary targets in a three-dimensional ...