Results 31 to 40 of about 1,662,008 (267)

Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development

IEEE Access
For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes.
Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen   +5 more
doaj   +1 more source

Optimal and adaptive control of underwater vehicles [PDF]

Modeling, Identification and Control, 1994
This article contains a continuous-time optimal and adaptive control scheme for underwater vehicles moving in six degrees of freedom. The control scheme is an extension of the algorithm ofJohansson (1990) and a modification of the algorithm found in ...
Svein I. Sagatun, Rolf Johansson
doaj   +1 more source

The influence of anthropometric indicators on the availability of vitamin D in residents of Southern Ukraine

Journal of Education, Health and Sport, 2023
The social role of the problem of obesity is determined by the threat of disability and a decrease in overall life expectancy due to the frequent development of serious concomitant diseases.
Anton Shanyhin, Volodymyr Babienko, Anastasiya Rozhnova, Yevhen Strakhov   +3 more
doaj   +1 more source

Estimation of travel time reduction for ice-breaking ships when considering ice information data

Annals of Glaciology
In light of the recent increase in polar shipping and potential future increase with continued climate change reliable routing in ice-covered waters becomes increasingly important for environmental, economic and safety concerns.
Bernhard Schmitz, Christine Eis, H. Jakob Bünger, Christof Büskens   +3 more
doaj   +1 more source

Deception in Optimal Control [PDF]

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018
In this paper, we consider an adversarial scenario where one agent seeks to achieve an objective and its adversary seeks to learn the agent's intentions and prevent the agent from achieving its objective. The agent has an incentive to try to deceive the adversary about its intentions, while at the same time working to achieve its objective. The primary
Melkior Ornik, Ufuk Topcu
openaire   +2 more sources

Obstacle Avoidance Control of the AGV With Actuator Dead Zones Based on Fixed-Time Disturbance Observers and Command Filtering

IEEE Access
This study explores an obstacle avoidance control approach that takes into account both actuator dead zones and unpredictable disturbances in environments with moving obstacles.
Pengfei Zhang, Yuanpei Ding, Ye Chen
doaj   +1 more source

A Distributed Algorithm for Controlling Continuous and Discrete Variables in a Radial Distribution Grid

IEEE Access, 2023
The increased integration of distributed energy resources (DERs) in the distribution network with intermittent generation profiles will likely make voltage regulation a difficult task.
Jonatan Ralf Axel Klemets, Merkebu Zenebe Degefa   +1 more
doaj   +1 more source

A Fast Predictive Control Method for Vehicle Path Tracking Based on a Recurrent Neural Network

IEEE Access
The paper introduces a Fast Model Predictive Control (FMPC) approach for vehicle path tracking, addressing the challenge of real-time performance in highly nonlinear systems.
Xialai Wu, Ling Lin, Junghui Chen, Shuxin Du   +3 more
doaj   +1 more source

Reinforced optimal control

Communications in Mathematical Sciences, 2022
Least squares Monte Carlo methods are a popular numerical approximation method for solving stochastic control problems. Based on dynamic programming, their key feature is the approximation of the conditional expectation of future rewards by linear least squares regression.
Bayer, Christian, Belomestny, Denis, Hager, Paul, Pigato, Paolo, Schoenmakers, John, Spokoiny, Vladimir   +5 more
openaire   +7 more sources

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source