Machine Design

Modeling and Optimization of Linear Machines Using FEA

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...
Purdue University

CSE Core Courses

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
IEEE

Chance-Constrained Trajectory Optimization for UAVs With Randomly Moving Obstacles

Abstract: This paper studies the trajectory planning problem for Unmanned Aerial Vehicles (UAVs) to avoid randomly moving obstacles. We model the problem in a chance-constrained trajectory ...
EDN

The typical regulator output network

Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...
Scientific Research Publishing

Bertsekas, D.P. (1982) Constrained Optimization and Lagrange Multiplier Methods. Academic Press.

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 ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
marktechpost

Adaptive Inference Budget Management in Large Language Models through Constrained Policy Optimization

Large Language Models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, particularly in mathematical problem-solving and coding applications. Research has shown a strong ...