Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rivera, Josue N."'
Autor:
Rivera, Josue N., Sun, Dengfeng
This paper formalizes Hamiltonian-Informed Optimal Neural (Hion) controllers, a novel class of neural network-based controllers for dynamical systems and explicit non-linear model predictive control. Hion controllers estimate future states and comput
Externí odkaz:
http://arxiv.org/abs/2411.01297
At the forefront of control techniques is Model Predictive Control (MPC). While MPCs are effective, their requisite to recompute an optimal control given a new state leads to sparse response to the system and may make their implementation infeasible
Externí odkaz:
http://arxiv.org/abs/2410.16173
Autor:
Rivera, Josue N., Sun, Dengfeng
In burgeoning domains, like urban goods distribution, the advent of aerial cargo transportation necessitates the development of routing solutions that prioritize safety. This paper introduces Larp, a novel path planning framework that leverages the c
Externí odkaz:
http://arxiv.org/abs/2408.02786
Autor:
Rivera, Josue N., Sun, Dengfeng
Aerial cargo transport is anticipated to play a pivotal role in the distribution of goods within urban environments. The shift is propelled by the surge in e-commerce, the imperative to deliver essential supplies to isolated areas, and the growing de
Externí odkaz:
http://arxiv.org/abs/2403.11086
Autor:
Rivera, Josue N., Xu, Haiping
Pumping lemma has been a very difficult topic for students to understand in a theoretical computer science course due to a lack of tool support. In this paper, we present an active learning tool called MInimum PUmping length (MIPU) educational softwa
Externí odkaz:
http://arxiv.org/abs/2302.12941