Frontiers

Geometric Mechanics and Learning-Based Methods for Modeling and Autonomy in Space Robotics

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...

Scientists Unveil the Most Realistic Black Hole Accretion Model Ever Created

Using cutting-edge algorithms and exascale supercomputers, researchers have created the most realistic simulations yet of matter flowing into black holes. Building on decades of research, a group of c ...
IEEE

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
IEEE

Nonlinear Integral-Ameliorated Model for Dynamic Convex Optimization with Perturbance Considered

Abstract: This work presents a nonlinear integral-ameliorated model for handling dynamic optimization problems with affine constraints. They pose a challenge as their optimal solutions evolve with ...
Frontiers

Plasma oxytocin and leptin in relation to disordered eating: evidence from non-linear modeling across metabolic obesity phenotypes

Background: Obesity is heterogeneous across metabolic and behavioral dimensions. Oxytocin, a hypothalamic neuropeptide, and leptin, an adiposity signal, have been implicated in appetite and reward, ...