Zobrazeno 1 - 10
of 3 277
pro vyhledávání: '"A. S. Andrew"'
The volume of remote sensing data is experiencing rapid growth, primarily due to the plethora of space and air platforms equipped with an array of sensors. Due to limited hardware and battery constraints the data is transmitted back to Earth for proc
Externí odkaz:
http://arxiv.org/abs/2404.03696
This paper addresses the challenges of distributed formation control in multiple mobile robots, introducing a novel approach that enhances real-world practicability. We first introduce a distributed estimator using a variable structure and cascaded d
Externí odkaz:
http://arxiv.org/abs/2403.15716
We present here a combination of two networks, Recurrent Neural Networks (RNN) and Temporarily Convolutional Neural Networks (TCN) in de novo reaction generation using the novel Reaction Smiles-like representation of reactions (CGRSmiles) with atom m
Externí odkaz:
http://arxiv.org/abs/2310.17341
Robust constrained formation tracking control of underactuated underwater vehicles (UUVs) fleet in three-dimensional space is a challenging but practical problem. To address this problem, this paper develops a novel consensus based optimal coordinati
Externí odkaz:
http://arxiv.org/abs/2308.09326
This paper generalizes results in noncoherent space-time block code (STBC) design based on quantum error correction (QEC) to new antenna configurations. Previous work proposed QEC-inspired STBCs for antenna geometries where the number of transmit and
Externí odkaz:
http://arxiv.org/abs/2305.07104
This paper investigated the distributed leader follower formation control problem for multiple differentially driven mobile robots. A distributed estimator is first introduced and it only requires the state information from each follower itself and i
Externí odkaz:
http://arxiv.org/abs/2305.02288
Autor:
Lanham, S. Andrew
Two contrasting algorithmic paradigms for constraint satisfaction problems are successive local explorations of neighboring configurations versus producing new configurations using global information about the problem (e.g. approximating the marginal
Externí odkaz:
http://arxiv.org/abs/2212.04016
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200398- (2024)
Optimal reactive power dispatch (ORPD) problems are important tools for the sake of security and economics of power systems. The ORPD problems are nonlinear optimization problems to minimize the real power losses and voltage profile enhancement by op
Externí odkaz:
https://doaj.org/article/f61ae0d731d146c8bb591dc35c4ada60
Tracking control has been a vital research topic in robotics. This paper presents a novel hybrid control strategy for an unmanned underwater vehicle (UUV) based on a bioinspired neural dynamics model. An enhanced backstepping kinematic control strate
Externí odkaz:
http://arxiv.org/abs/2209.01484
Autor:
Elizabeth K. Wood, S. Andrew Aston, Patrick H. O’Connell, Elia Hafen, Andrea N. Skowbo, Melanie L. Schwandt, Stephen G. Lindell, Ellie Smith, Miranda Johnson, Zachary Baron, Natalia Gabrielle, Christina S. Barr, Stephen J. Suomi, David Goldman, J. Dee Higley
Publikováno v:
Stress, Vol 27, Iss 1 (2024)
Aberrant functioning of the hypothalamic-pituitary-adrenal (HPA) axis is a hallmark of conditions such as depression, anxiety disorders, and post-traumatic stress disorder. Early-life adversity and genetic variation can interaction to disrupt HPA axi
Externí odkaz:
https://doaj.org/article/0a269e548883420297e62a9cf09a167e