From aerospace simulations to data analysis and robotics, MATLAB is a powerhouse for engineering students and professionals. With tools for modeling, optimization, and hardware integration, it bridges ...

Abstract: This paper addresses the implementation of a constrained quadratic programming (QP) algorithm directly in a programmable logic controller (PLC) instead of using an external computing unit, ...

Abstract: Constrained optimization problems are pervasive in various fields, and while conventional techniques offer solutions, they often struggle with scalability. Leveraging the power of deep ...

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...

Picture this: I’m hunched over a garage floor, scrubbing away at the gunky paint remover I’ve spread over a fire-engine-red paint to make way for the aesthetically-pleasing home gym that’s going to ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...